Index for kerne

_	kernel	_
2D Shape Recognition Using Information Theoretic	kernel	s
2D/3D rotation-invariant detection using equivariant filters and	kernel	weighted mapping
3-D Density	kernel	Estimation for Counting in Microscopy Image Volumes Using 3-D Image Filters and Random Decision Trees
3D Face Recognition using Point Cloud	kernel	Correlation
3D facial expression recognition via multiple	kernel	learning of Multi-Scale Local Normal Patterns
3D head model retrieval in	kernel	feature space using HSOM
3D Instances as 1D	kernel	s
3D Model Comparison through	kernel	Density Matching
3D Object Classification Using Scale Invariant Heat	kernel	s with Collaborative Classification
3D Object Pose Inference via	kernel	Principal Component Analysis with Image Euclidian Distance (IMED)
3D Sequential Thinning Scheme Based on Critical	kernel	s, A
3D Shape Analysis Through a Quantum Lens: The Average Mixing	kernel	Signature
3D shape recovery from image focus using	kernel	regression in eigenspace
3D shape retrieval and classification using multiple	kernel	learning on extended Reeb graphs
3D shape retrieval using	kernel	s on Extended Reeb Graphs
3D tubular structure extraction using	kernel	-based superellipsoid model with Gaussian process regression
3D-Orientation Signatures with Conic	kernel	Filtering for Multiple Motion Analysis
Absent Multiple	kernel	Learning Algorithms
Absolute Orientation Based on Distance	kernel	Functions
Accelerated	kernel	Feature Analysis
Accelerating Convolutional Neural Networks with Dominant Convolutional	kernel	and Knowledge Pre-regression
Accelerating	kernel	classifiers through borders mapping
Accelerating projections to	kernel	-induced spaces by feature approximation
Accurate Human Pose Estimation by Aggregating Multiple Pose Hypotheses Using Modified	kernel	Density Approximation
Accurate Threshold Insensitive	kernel	Detector for Arbitrary Shaped Text, An
ACNet: Strengthening the	kernel	Skeletons for Powerful CNN via Asymmetric Convolution Blocks
Action recognition by using	kernel	s on aclets sequences
Action Recognition Using Canonical Correlation	kernel	s
Active Appearance Models with Rotation Invariant	kernel	s
Active constrained fuzzy clustering: A multiple	kernel	s learning approach
Active Fire Detection from Landsat-8 Imagery Using Deep Multiple	kernel	Learning
Active multi-	kernel	domain adaptation for hyperspectral image classification
AdaMKL: A Novel Biconvex Multiple	kernel	Learning Approach
Adaptable Image Retrieval System With Relevance Feedback Using	kernel	Machines and Selective Sampling, An
Adaptive active contours based on variable	kernel	with constant initialisation
Adaptive Classification for Hyperspectral Image Data Using Manifold Regularization	kernel	Machines
Adaptive convolution	kernel	for artificial neural networks
Adaptive Convolutional	kernel	s
Adaptive hash retrieval with	kernel	based similarity
Adaptive Hierarchical Multinomial Latent Model With Hybrid	kernel	Function for SAR Image Semantic Segmentation
Adaptive	kernel	Based Tracking Using Mean-Shift
Adaptive	kernel	for triangular meshes smoothing
Adaptive	kernel	Kalman Filter Based Belief Propagation Algorithm for Maneuvering Multi-Target Tracking
Adaptive	kernel	learning based on centered alignment for hierarchical classification
Adaptive	kernel	learning for detection of clustered microcalcifications in mammograms
Adaptive	kernel	metric nearest neighbor classification
Adaptive	kernel	Size Selection for Correntropy Based Metric
Adaptive	kernel	-based active contour
Adaptive	kernel	-Based Image Denoising Employing Semi-Parametric Regularization
Adaptive Matching of	kernel	Means
Adaptive Multi-	kernel	SVM With Spatial-Temporal Correlation for Short-Term Traffic Flow Prediction
Adaptive Object Retrieval with	kernel	Reconstructive Hashing
Adaptive pixel classifier for binary structured light: A probabilistic	kernel	approach
Adaptive Pixel Neighborhood Definition for the Classification of Hyperspectral Images with Support Vector Machines and Composite	kernel
Adaptive Quasiconformal	kernel	Metric for Image Retrieval
Adaptive quasiconformal	kernel	nearest neighbor classification
Adaptive Reproducing	kernel	Particle Method for Extraction of the Cortical Surface
Adaptive Surface Reconstruction with Multiscale Convolutional	kernel	s
Adaptive TerraSAR-X Image Registration (AIR) Using Spatial Fisher	kernel	Framework
Adaptive training of a	kernel	-based nonlinear discriminator
Adaptive Transfer	kernel	Learning for Transfer Gaussian Process Regression
Affine Object Tracking with	kernel	-Based Spatial-Color Representation
Affine-Invariant Photometric Heat	kernel	Signatures
Age Estimation Using Local Binary Pattern	kernel	Density Estimate
Aggregating the temporal coherent descriptors in videos using multiple learning	kernel	for action recognition
Algorithmic optimisation of histogram intersection	kernel	support vector machine-based pedestrian detection using low complexity features
Algorithms for maximum-likelihood bandwidth selection in	kernel	density estimators
Aligning Infinite-Dimensional Covariance Matrices in Reproducing	kernel	Hilbert Spaces for Domain Adaptation
Alternative similarity functions for graph	kernel	s
Alzheimer disease classification using KPCA, LDA, and multi-	kernel	learning SVM
Analyses on Generalization Error of Ensemble	kernel	Regressors
Analysis of human attractiveness using manifold	kernel	regression
Analytical Inversion of the 180deg Exponential Radon Transform with a Numerically Generated	kernel	, An
Analyzing Group-Level Emotion with Global Alignment	kernel	based Approach
Analyzing Time Series from Chinese Financial Market Using a Linear-Time Graph	kernel
Anchored	kernel	Hashing for Cancelable Template Protection for Cross-Spectral Periocular Data
Anisotropic alpha-	kernel	s and Associated Flows
Annotated Contraction	kernel	s for Interactive Image Segmentation
Annotating Dance Posture Images Using Multi	kernel	Feature Combination
Anomaly Detection for Longwave FLIR Imagery Using	kernel	Wavelet-RX
Antarctic Ice Mass Change Products from GRACE/GRACE-FO Using Tailored Sensitivity	kernel	s
Appearance Models Based on	kernel	Canonical Correlation Analysis
Application of Graph	kernel	s in Face Recognition, The
application of	kernel	Fisher identification method based on face symmetry in face recognition, The
Applying Neighborhood Consistency for Fast Clustering and	kernel	Density Estimation
Approach for Constructing Sparse	kernel	Classifier, An
Approximate Bayesian methods for	kernel	-based object tracking
Approximate Fisher	kernel	s of Non-iid Image Models for Image Categorization
Approximate RBF	kernel	SVM and its applications in pedestrian classification
Approximation of	kernel	k-means for streaming data
approximation of the Gaussian RBF	kernel	for efficient classification with SVMs, An
Arbitrary factor image interpolation by convolution	kernel	constrained 2-D autoregressive modeling
Articulated and Generalized Gaussian	kernel	Correlation for Human Pose Estimation
Articulated Gaussian	kernel	correlation for human pose estimation
Assessment of the Hotspot Effect for the PROSAIL Model With POLDER Hotspot Observations Based on the Hotspot-Enhanced	kernel	-Driven BRDF Model
Asymmetric	kernel	in Gaussian Processes for learning target variance
Asymmetric	kernel	method and its application to Fisher's discriminant
Asymmetric Sparse	kernel	Approximations for Large-Scale Visual Search
Asymmetric, Non-unimodal	kernel	Regression for Image Processing
Atom specific multiple	kernel	dictionary based Sparse Representation Classifier for medium scale image classification
Attention-Based Adaptive Spectral-Spatial	kernel	ResNet for Hyperspectral Image Classification
Attentional	kernel	Encoding Networks for Fine-Grained Visual Categorization
Attentive Semantic Alignment with Offset-Aware Correlation	kernel	s
Attributed Graph	kernel	from the Jensen-Shannon Divergence, An
Audio Coding Using Overlap and	kernel	Adaptation
Audio-Driven Talking Face Video Generation With Dynamic Convolution	kernel	s
Augmented	kernel	Matrix vs Classifier Fusion for Object Recognition
Auto-context modeling using multiple	kernel	learning
auto-term representation by the reduced interference distributions; The procedure for a	kernel	design, The
Automatic blur-	kernel	-size estimation for motion deblurring
Automatic false edge elimination using locally adaptive regression	kernel
Automatic graph pruning based on	kernel	alignment for spectral clustering
Automatic	kernel	clustering with a Multi-Elitist Particle Swarm Optimization Algorithm
Automatic	kernel	Size Determination for Deep Neural Networks Based Hyperspectral Image Classification
Automatic model selection for the optimization of SVM	kernel	s
Automatic Robust Background Modeling Using Multivariate Non-parametric	kernel	Density Estimation for Visual Surveillance
Average Mixing	kernel	Signature, The
Axially Variant	kernel	Imaging Model Applied to Ultrasound Image Reconstruction, An
Background and foreground modeling using nonparametric	kernel	density estimation for visual surveillance
Background modeling using adaptive pixelwise	kernel	variances in a hybrid feature space
Bag-of-features	kernel	eigen spaces for classification
Bagging Based Efficient	kernel	Fisher Discriminant Analysis for Face Recognition
Band-Reweighed Gabor	kernel	Embedding for Face Image Representation and Recognition
bank of fast matched filters by decomposing the filter	kernel	, A
Basis Prediction Networks for Effective Burst Denoising With Large	kernel	s
Batch Size Reconstruction-Distribution Trade-Off In	kernel	Based Generative Autoencoders
Bayes optimal	kernel	discriminant analysis
Bayesian approach with nonlinear	kernel	s to feature extraction
Bayesian	kernel	Methods for Analysis of Functional Neuroimages
Bayesian	kernel	Tracking
Bayesian network classification using spline-approximated	kernel	density estimation
Bayesian predictive	kernel	discriminant analysis
BD-SKUNet: Selective-	kernel	UNets for Building Damage Assessment in High-Resolution Satellite Images
Beta Process Multiple	kernel	Learning
Beyond Covariance: Feature Representation with Nonlinear	kernel	Matrices
Beyond Covariance: SICE and	kernel	Based Visual Feature Representation
Beyond Self-Attention: Deformable Large	kernel	Attention for Medical Image Segmentation
Beyond standard classes of generalized joint signal representations of arbitrary variables: Mercer	kernel	-based representations
Beyond the Euclidean distance: Creating effective visual codebooks using the Histogram Intersection	kernel
Bi-	kernel	Graph Neural Network with Adaptive Propagation Mechanism for Hyperspectral Image Classification
bi-level formulation for multiple	kernel	learning via self-paced training, A
Bijective Weighted	kernel	with Connected Component Analysis for Visual Object Search
Bilateral filter evaluation based on exponential	kernel	s
Bilateral	kernel	parameter optimization by risk minimization
Bilateral	kernel	-based Region Detector
Bilateral Regularization in Reproducing	kernel	Hilbert Spaces for Discontinuity Preserving Image Registration
Bilinear	kernel	Reduced Rank Regression for Facial Expression Synthesis
Binet-Cauchy	kernel	s on Dynamical Systems and its Application to the Analysis of Dynamic Scenes
Biobjective Nonnegative Matrix Factorization: Linear Versus	kernel	-Based Models
Birkhoff polytopes, heat	kernel	s and graph complexity
Bit Error-Rate Minimizing Detector for Amplify-and-Forward Relaying Systems Using Generalized Gaussian	kernel
Blind Image Deblurring Based on Dual Attention Network and 2D Blur	kernel	Estimation
Blind Image Deblurring Using Weighted Sum of Gaussian	kernel	s for Point Spread Function Estimation
Blind Image Deblurring with Unknown	kernel	Size and Substantial Noise
Blind Image Super-resolution with Elaborate Degradation Modeling on Noise and	kernel
Blind Multiscale Spatial Regularization Framework for	kernel	-Based Spectral Unmixing, A
Blind Nonlinear Channel Equalization Using	kernel	Processing
Blind nonlinear hyperspectral unmixing based on constrained	kernel	nonnegative matrix factorization
Blind Super-Resolution With Iterative	kernel	Correction
Blob Reconstruction Using Unilateral Second Order Gaussian	kernel	s with Application to High-ISO Long-Exposure Image Denoising
Blur	kernel	estimation to improve recognition of blurred faces
Blur	kernel	estimation using blurry structure
Blur	kernel	estimation using normalized color-line priors
Blur	kernel	estimation using the radon transform
Blur	kernel	Estimation Via Salient Edges and Low Rank Prior for Blind Image Deblurring
Blur-	kernel	Bound Estimation From Pyramid Statistics
Blur-	kernel	Estimation from Spectral Irregularities
Boosted Multiple	kernel	Learning for Scene Category Recognition
Boosting	kernel	combination for multi-class image categorization
Brain tumor segmentation from multiple MRI sequences using multiple	kernel	learning
Brain tumor severity analysis using modified multi-texton histogram and hybrid	kernel	SVM
Bridging the Gap Between Graph Edit Distance and	kernel	Machines
Building	kernel	s from Binary Strings for Image Matching
Bundled	kernel	s for Nonuniform Blind Video Deblurring
Burst Denoising with	kernel	Prediction Networks
Camera intrinsic blur	kernel	estimation: A reliable framework
Can We Track Targets From Space? A Hybrid	kernel	Correlation Filter Tracker for Satellite Video
Center-based weighted	kernel	linear regression for image classification
Centered Subset	kernel	PCA for Denoising
Change Detection Method Based on Multi-Scale Adaptive Convolution	kernel	Network and Multimodal Conditional Random Field for Multi-Temporal Multispectral Images, A
Change Detection Method for Remote Sensing Image Based on Multi-Feature Differencing	kernel	SVM, A
Characterising Graphs using the Heat	kernel
Characterization of Myocardial Velocities by Multiple	kernel	Learning: Application to Heart Failure with Preserved Ejection Fraction
Characterizing Cell Shape Distributions Using k-Mode	kernel	Mixtures
Chebyshev approximations to the histogram X^2	kernel
Chemoinformatics and stereoisomerism: A stereo graph	kernel	together with three new extensions
Choosing the	kernel	parameters for support vector machines by the inter-cluster distance in the feature space
Class Specific Object Recognition using	kernel	Gibbs Distributions
Class-Specific Sparse Multiple	kernel	Learning for Spectral-Spatial Hyperspectral Image Classification
Classification and Recognition of Dynamical Models: The Role of Phase, Independent Components,	kernel	s and Optimal Transport
Classification in the presence of class noise using a probabilistic	kernel	Fisher method
Classification of Audio Signals Using Fuzzy C-Means with Divergence-Based	kernel
Classification of High-Resolution NMR Spectra Based on Complex Wavelet Domain Feature Selection and	kernel	-Induced Random Forest
Classification of Hyperspectral Images by Exploiting Spectral-Spatial Information of Superpixel via Multiple	kernel	s
Classification of Hyperspectral Images by SVM Using a Composite	kernel	by Employing Spectral, Spatial and Hierarchical Structure Information
Classification of Hyperspectral Images Using	kernel	Fully Constrained Least Squares
Classification of Proteomic Data with Logistic	kernel	Partial Least Squares Algorithm
Classification of resting-state fMRI datasets based on graph	kernel	s
Classification of tensors and fiber tracts using Mercer-	kernel	s encoding soft probabilistic spatial and diffusion information
Classification using intersection	kernel	support vector machines is efficient
Classifying Video with	kernel	Dynamic Textures
Cluster	kernel	For Learning Similarities Between Symmetric Positive Definite Matrix Time Series
Cluster-dependent feature selection by multiple	kernel	self-organizing map
Clustered Microcalcification detection based on a Multiple	kernel	Support Vector Machine with Grouped Features (GF-SVM)
Clustering based on density estimation using variable	kernel	and maximum entropy principle
Clustering Convolutional	kernel	s to Compress Deep Neural Networks
Clustering large datasets with	kernel	methods
Clustering on Grassmann manifolds via	kernel	embedding with application to action analysis
Clustering Social Event Images Using	kernel	Canonical Correlation Analysis
Clustering-Based Construction of Hidden Markov Models for Generative	kernel	s
Co-regularized	kernel	k-means for multi-view clustering
Coarse-to-Fine Deep	kernel	Networks
Cohort-based	kernel	visualisation with scatter matrices
Collaborative Active Learning of a	kernel	Machine Ensemble for Recognition
Collaborative and geometric multi-	kernel	learning for multi-class classification
Color and texture feature fusion using	kernel	PCA with application to object-based vegetation species classification
Color Constancy Via Convex	kernel	Optimization
Color	kernel	Regression for Robust Direct Upsampling from Raw Data of General Color Filter Array
Column-generation	kernel	nonlocal joint collaborative representation for hyperspectral image classification
Combination of	kernel	s applied to face verification
Combination of product graph and random walk	kernel	for symbol spotting in graphical documents
Combination of self-organization map and	kernel	mutual subspace method for video surveillance
Combination of Warping Robust Elastic Graph Matching and	kernel	-Based Projection Discriminant Analysis for Face Recognition
Combined CAVLC Decoder, Inverse Quantizer, and Transform	kernel	in Compact H.264/AVC Decoder
Combining AAM coefficients with LGBP histograms in the multi-	kernel	SVM framework to detect facial action units
Combining content and structure similarity for XML document classification using composite SVM	kernel	s
Combining free energy score spaces with information theoretic	kernel	s: Application to scene classification
Combining Generative Models and Fisher	kernel	s for Object Recognition
Combining histogram-wise and pixel-wise matchings for	kernel	tracking through constrained optimization
Combining multiple	kernel	s for efficient image classification
Combining Pyramid Match	kernel	and Spatial Pyramid for Image Classification
Combining Visual Dictionary,	kernel	-Based Similarity and Learning Strategy for Image Category Retrieval
Comments on Traffic Sign Recognition Using	kernel	Extreme Learning Machines With Deep Perceptual Features
Common Viewpoint on Broad	kernel	Filtering and Nonlinear Diffusion, A
Communication-Efficient Randomized Algorithm for Multi-	kernel	Online Federated Learning
compact association of particle filtering and	kernel	based object tracking, A
Compact Image Fingerprint Via Multiple	kernel	Hashing
Compact	kernel	Approximation for 3D Action Recognition, A
Compacting Binary Neural Networks by Sparse	kernel	Selection
Compactly Supported Basis Functions as Support Vector	kernel	s for Classification
Comparative Analysis of	kernel	Methods for Statistical Shape Learning
Comparative analysis of the	kernel	types in generalized autocalibrating partially parallel acquisition algorithms for accelerated three-dimensional magnetic resonance spectroscopic imaging data
Comparison of Combining Methods of Correlation	kernel	s in kPCA and kCCA for Texture Classification with Kansei Information
Comparison of	kernel	Class-dependence Feature Analysis (KCFA) with Kernel Discriminant Analysis (KDA) for Face Recognition
Comparison of	kernel	Class-dependence Feature Analysis (KCFA) with Kernel Discriminant Analysis (KDA) for Face Recognition
Comparison of Spectrum	kernel	Machines for Protein Subnuclear Localization, A
Comparison of support vector machines with autocorrelation	kernel	s for invariant texture classification
Complementary	kernel	Density Estimation
Complete discriminant evaluation and feature extraction in	kernel	space for face recognition
Complete parameterization of piecewise-polynomial interpolation	kernel	s
complete person re-identification model using	kernel	-PCA-based Gabor-filtered hybrid descriptors, A
CompNet: Competitive Neural Network for Palmprint Recognition Using Learnable Gabor	kernel	s
Component-Spectra-Parameterized Angular and Spectral	kernel	-Driven Model: A Potential Solution for Global BRDF/Albedo Retrieval From Multisensor Satellite Data, The
composite	kernel	for named entity recognition, A
Compositional Models for Video Event Detection: A Multiple	kernel	Learning Latent Variable Approach
compressed sensing-based pan-sharpening using joint data fidelity and blind blurring	kernel	estimation, A
Compressing Facial Makeup Transfer Networks by Collaborative Distillation and	kernel	Decomposition
computationally efficient scheme for feature extraction with	kernel	discriminant analysis, A
Computing Reconstruction	kernel	s for Circular 3-D Cone Beam Tomography
Condition of	kernel	izing an Algorithm and an Equivalence Between Kernel Methods, The
Cone-restricted	kernel	subspace methods
Connecting the Out-of-Sample and Pre-Image Problems in	kernel	Methods
Consensus Cluster Center Guided Latent Multi-	kernel	Clustering
Constant-Time Filtering Using Shiftable	kernel	s
Constrained clustering by spectral	kernel	learning
Constructing Descriptive and Discriminative Nonlinear Features: Rayleigh Coefficients in	kernel	Feature Spaces
Constructing Structures of Facial Identities on the View Sphere Using	kernel	Discriminant Analysis
Constructing the Discriminative	kernel	s Using GMM for Text-Independent Speaker Identification
Content-Based Mammogram Retrieval Using Mixed	kernel	PCA and Curvelet Transform
Context Quantization by	kernel	Fisher Discriminant
Context-dependent	kernel	design for object matching and recognition
Context-Dependent	kernel	s for Object Classification
Context-Dependent Random Walk Graph	kernel	s and Tree Pattern Graph Matching Kernels With Applications to Action Recognition
Context-Dependent Random Walk Graph	kernel	s and Tree Pattern Graph Matching Kernels With Applications to Action Recognition
Contextual Fisher	kernel	s for human action recognition
Contextual	kernel	and Spectral Methods for Learning the Semantics of Images
Contextual	kernel	map learning for scene transduction
Contextual Object Localization With Multiple	kernel	Nearest Neighbor
Continuous Conversion of CT	kernel	Using Switchable CycleGAN With AdaIN
Contraction	kernel	s and combinatorial maps
Contrastive Multi-View	kernel	Learning
Convergence Analysis of MAP Based Blur	kernel	Estimation
Convex reduction of high-dimensional	kernel	s for visual classification
Convex relaxation for image segmentation by	kernel	mapping
Convex-relaxed active contour model based on localised	kernel	mapping
Convex-Relaxed	kernel	Mapping for Image Segmentation
Convolution Edit	kernel	for Error-tolerant Graph Matching, A
Convolution in the Cloud: Learning Deformable	kernel	s in 3D Graph Convolution Networks for Point Cloud Analysis
Convolution of Convolution: Let	kernel	s Spatially Collaborate
Convolutional	kernel	networks based on a convex combination of cosine kernels
Convolutional	kernel	networks based on a convex combination of cosine kernels
Convolutional	kernel	s with an element-wise weighting mechanism for identifying abnormal brain connectivity patterns
Convolutional Networks with Oriented 1D	kernel	s
Convolutional Neural Network with Spatial-Variant Convolution	kernel
Convolutional Neural Networks Based Hyperspectral Image Classification Method with Adaptive	kernel	s
Cooperative and penalized competitive learning with application to	kernel	-based clustering
Correlation	kernel	Reconstruction and Superresolution
Correspondence matching using	kernel	principal components analysis and label consistency constraints
Corresponding Points Screening Algorithm Based On Gaussian	kernel	Fuzzy Clustering, The
Cost-conscious multiple	kernel	learning
Cost-Constrained Feature Optimization in	kernel	Machine Classifiers
Cost-Effective Semisupervised Classifier Approach With	kernel	s, A
Coupled	kernel	Embedding for Low-Resolution Face Image Recognition
Coupled	kernel	-Based Subspace Learning
COVID-19 Detection from X-ray Images using Multi-	kernel	-Size Spatial-Channel Attention Network
Criterion for Optimizing	kernel	Parameters in KBDA for Image Retrieval, A
CROification: Accurate	kernel	Classification with the Efficiency of Sparse Linear SVM
Cross-age face recognition using reference coding with	kernel	direct discriminant analysis
Cross-domain neural-	kernel	networks
Cross-Domain Object Recognition Via Input-Output	kernel	Analysis
Cross-Sensor Iris Recognition through	kernel	Learning
Cross-View	kernel	transfer
Crowd Counting from a Still Image Using Multi-scale Fully Convolutional Network with Adaptive Human-Shaped	kernel
Cubic norm and	kernel	-based bi-directional PCA: toward age-aware facial kinship verification
Cucumber disease detection using adaptively regularised	kernel	-based fuzzy C-means and probabilistic neural network
Curvature Integration in a 5D	kernel	for Extracting Vessel Connections in Retinal Images
Customizing	kernel	Functions for SVM-Based Hyperspectral Image Classification
cyto-Knet: An instance segmentation approach for multiple myeloma plasma cells using conditional	kernel	s
Daily Living Activities Recognition via Efficient High and Low Level Cues Combination and Fisher	kernel	Representation
Data representations and generalization error in	kernel	based learning machines
Data Structures in	kernel	Density Estimation
Data-dependent multiple	kernel	learning algorithm based on soft-grouping
Data-Driven Hierarchical Structure	kernel	for Multiscale Part-Based Object Recognition
Data-independent Random Projections from the feature-space of the homogeneous polynomial	kernel
Deblurring Saturated Night Image With Function-Form	kernel
Deblurring Using Regularized Locally Adaptive	kernel	Regression
Deblurring, Gaussian Blur, Other Blur	kernel	s
Decision Fusion in	kernel	-Induced Spaces for Hyperspectral Image Classification
Deep Active Learning for Biased Datasets via Fisher	kernel	Self-Supervision
Deep Fisher	kernel	s: End to End Learning of the Fisher Kernel GMM Parameters
Deep Fisher	kernel	s: End to End Learning of the Fisher Kernel GMM Parameters
Deep Hybrid Graph	kernel	Through Deep Learning Networks, A
Deep	kernel	Extreme-Learning Machine for the Spectral-Spatial Classification of Hyperspectral Imagery
Deep	kernel	Representation for Image Reconstruction in PET
Deep Learning based Corn	kernel	Classification
Deep Learning for Handling	kernel	/model Uncertainty in Image Deconvolution
deep learning model integrating convolution neural network and multiple	kernel	K means clustering for segmenting brain tumor in magnetic resonance images, A
Deep learning-based blind image super-resolution with iterative	kernel	reconstruction and noise estimation
Deep Metric Learning and Image Classification with Nearest Neighbour Gaussian	kernel	s
Deep Multi-	kernel	Convolutional LSTM Networks and an Attention-Based Mechanism for Videos
Deep Neural Networks and	kernel	Density Estimation for Detecting Human Activity Patterns from Geo-Tagged Images: A Case Study of Birdwatching on Flickr
Deep Plug-And-Play Super-Resolution for Arbitrary Blur	kernel	s
Deep Renyi entropy graph	kernel
Deep representation design from deep	kernel	networks
Deep Spherical Manifold Gaussian	kernel	for Unsupervised Domain Adaptation
DeepKSPD: Learning	kernel	-Matrix-Based SPD Representation For Fine-Grained Image Recognition
Defect detection in patterned wafers using anisotropic	kernel	s
Deformable	kernel	Networks for Joint Image Filtering
Deformable	kernel	s for Early Vision
Deformable Object Tracking: A	kernel	Density Estimation Approach Via Level Set Function Evolution
Deformable Shape Finding With Models Based on	kernel	Methods
Deformable Shape Retrieval by Learning Diffusion	kernel	s
Delimitating Urban Commercial Central Districts by Combining	kernel	Density Estimation and Road Intersections: A Case Study in Nanjing City, China
Demystifying the Neural Tangent	kernel	from a Practical Perspective: Can it be trusted for Neural Architecture Search without training?
Denoising by semi-supervised	kernel	PCA preimaging
Dense stereo matching using	kernel	maximum likelihood estimation
Densely Connected Large	kernel	Convolutional Network for Semantic Membrane Segmentation in Microscopy Images
Density-Adaptive	kernel	based Re-Ranking for Person Re-Identification
Depth Map Enhancement Using Adaptive Steering	kernel	Regression Based on Distance Transform
Derivative Half Gaussian	kernel	s and Shock Filter
Derivative	kernel	s: Numerics and Applications
Design and implementation of image	kernel	s using reversible logic gates
Design of	kernel	s in Convolutional Neural Networks for Image Classification
Design of Multi-	kernel	Distance Based Hashing with Multiple Objectives for Image Indexing
Design of Non-Linear	kernel	Dictionaries for Object Recognition
Design of Positive-Definite Quaternion	kernel	s
Design of Sampling	kernel	s and Sampling Rates for Two-Dimensional Finite Rate of Innovation Signals
Detecting and Visualizing Observation Hot-Spots in Massive Volunteer-Contributed Geographic Data across Spatial Scales Using GPU-Accelerated	kernel	Density Estimation
Detection and Attribution of Vegetation Dynamics in the Yellow River Basin Based on Long-Term	kernel	NDVI Data
Detection of Fusarium Damaged	kernel	s in Wheat Using Deep Semi-Supervised Learning on a Novel WheatSeedBelt Dataset
Detection of Moving Objects Using Multi-channel	kernel	Fuzzy Correlogram Based Background Subtraction
Detection of premature ventricular contraction arrhythmias in electrocardiogram signals with	kernel	methods
Detection of Standing Dead Trees after Pine Wilt Disease Outbreak with Airborne Remote Sensing Imagery by Multi-Scale Spatial Attention Deep Learning and Gaussian	kernel	Approach
Diagnosing Autism Using T1-W MRI With Multi-	kernel	Learning and Hypergraph Neural Network
Dictionary-Free MRI PERK: Parameter Estimation via Regression with	kernel	s
Differentiable	kernel	Evolution
Diffusion	kernel	Attention Network for Brain Disorder Classification
Diffusion-based	kernel	matrix model for face liveness detection
Dilated residual grooming	kernel	model for breast cancer detection
Dimension Reduction Framework for HSI Classification Using Fuzzy and	kernel	NFLE Transformation, A
Dimensionality reduction and principal surfaces via	kernel	Map Manifolds
Dimensionality reduction by Mixed	kernel	Canonical Correlation Analysis
Dimensionality Reduction with Adaptive	kernel	s
Direct	kernel	neighborhood discriminant analysis for face recognition
Direct	kernel	Uncorrelated Discriminant Analysis Algorithm, A
Direct Method for Building Sparse	kernel	Learning Algorithms, A
Direct Patlak Reconstruction From Dynamic PET Data Using the	kernel	Method With MRI Information Based on Structural Similarity
Directed Acyclic Graph	kernel	s for Action Recognition
Direction	kernel	s: Using a simplified 3D model representation for grasping
Directional	kernel	Density Estimation for Classification of Breast Tissue Spectra
Disaster damage detection through synergistic use of deep learning and 3D point cloud features derived from very high resolution oblique aerial images, and multiple-	kernel	-learning
Discrete and Parameter-Free Multiple	kernel	k-Means
Discriminant Analysis of Hyperspectral Imagery Using Fast	kernel	Sparse and Low-Rank Graph
Discriminant	kernel	Assignment for Image Coding
discriminant	kernel	entropy-based framework for feature representation learning, A
Discrimination of disease-related non-synonymous single nucleotide polymorphisms using multi-scale RBF	kernel	fuzzy support vector machine
Discriminative Brain Effective Connectivity Analysis for Alzheimer's Disease: A	kernel	Learning Approach upon Sparse Gaussian Bayesian Network
Discriminative indefinite	kernel	classifier from pairwise constraints and unlabeled data
Discriminative Invariant	kernel	Features: A Bells-and-Whistles-Free Approach to Unsupervised Face Recognition and Pose Estimation
Discriminative	kernel	-Based Approach to Rank Images from Text Queries, A
Discriminative	kernel	-based metric learning for face verification
Discriminative Multiple	kernel	Learning for Hyperspectral Image Classification
Discriminative probabilistic	kernel	learning for image retrieval
dissimilarity	kernel	with local features for robust facial recognition, A
Distance based	kernel	PCA image reconstruction
Distance based	kernel	s for video tensors on product of Riemannian matrix manifolds
Distance metric learning for soft subspace clustering in composite	kernel	space
distributed framework for trimmed	kernel	k-Means clustering, A
Distribution Fields with Adaptive	kernel	s for Large Displacement Image Alignment
Diversified Fisher	kernel	: encoding discrimination in Fisher features to compete deep neural models for visual classification task
Document Image Retrieval Using Feature Combination in	kernel	Space
Domain Transfer Multiple	kernel	Learning
Domain-Agnostic Video Prediction from Motion Selective	kernel	s
Down-sampling Coupled to Elastic	kernel	Machines for Efficient Recognition of Isolated Gestures
DTW-based	kernel	and rank-level fusion for 3D gait recognition using Kinect
Dual-Branch Remote Sensing Spatiotemporal Fusion Network Based on Selection	kernel	Mechanism
Dual-Weighted	kernel	Extreme Learning Machine for Hyperspectral Imagery Classification
Dynamic Convolution: Attention Over Convolution	kernel	s
Dynamic	kernel	Distillation for Efficient Pose Estimation in Videos
Dynamic	kernel	Selection for Improved Generalization and Memory Efficiency in Meta-learning
Dynamic	kernel	-Based Progressive Particle Filter for 3D Human Motion Tracking
Dynamic Match	kernel	With Deep Convolutional Features for Image Retrieval
Dynamic pattern denoising method using multi-basin system with	kernel	s
Dynamic Respiratory Motion Estimation Using Patch-Based	kernel	-PCA Priors for Lung Cancer Radiotherapy
Dynamic Scene Understanding for Behavior Analysis Based on String	kernel	s
Dynamic time-alignment k-means	kernel	clustering for time sequence clustering
Dynamic Video Segmentation via a Novel Recursive	kernel	Density Estimation
Edge Preserving Image Denoising in Reproducing	kernel	Hilbert Spaces
Edge-Adapting Laplacian	kernel	For Nonlinear Diffusion Filters, An
Edge-Based Matching	kernel	for Graphs Through the Directed Line Graphs, An
Edge-Based Matching	kernel	on Commute-Time Spanning Trees, An
Edge-Based Matching	kernel	Through Discrete-Time Quantum Walks, An
Edit distance-based	kernel	functions for structural pattern classification
Edition within a Graph	kernel	Framework for Shape Recognition
Effective Level Set Image Segmentation With a	kernel	Induced Data Term
Effective Rotation-Invariant Point CNN with Spherical Harmonics	kernel	s
Efficient 3D	kernel	estimation for non-uniform camera shake removal using perpendicular camera system
Efficient Additive	kernel	s via Explicit Feature Maps
Efficient Algorithms for Similarity Measures over Sequential Data: A Look Beyond	kernel	s
Efficient anisotropic alpha-	kernel	s decompositions and flows
Efficient Bag-of-Feature	kernel	representation for image similarity search
Efficient Beltrami Flow Using a Short Time	kernel
Efficient Classification for Additive	kernel	SVMs
Efficient classification of chronic kidney disease by using multi-	kernel	support vector machine and fruit fly optimization algorithm
Efficient Computation of	kernel	Density Estimation using Fast Gauss Transform with Applications for segmentation and tracking
Efficient contour match	kernel
Efficient Digital FFT Convolution with Boundary	kernel	Renormalisation
Efficient down-up sampling using DCT	kernel	for MPEG-21 SVC
Efficient Empirical Solver for Localized Multiple	kernel	Learning via DNNs, An
Efficient	kernel	Computation for Volterra Filter Structure Evaluation
Efficient	kernel	density estimation using the fast gauss transform with applications to color modeling and tracking
Efficient	kernel	descriptor for image categorization via pivots selection
efficient	kernel	discriminant analysis method, An
Efficient	kernel	discriminative common vectors for classification
Efficient	kernel	Learning from Constraints and Unlabeled Data
efficient	kernel	matrix evaluation measure, An
Efficient	kernel	Orthonormalized PLS for Remote Sensing Applications
Efficient	kernel	s Couple Visual Words Through Categorical Opponency
Efficient	kernel	s for identifying unbounded-order spatial features
Efficient keypoint detection and description using filter	kernel	decomposition in scale space
Efficient Leave-One-Out Cross-Validation of	kernel	Fisher Discriminant Classifiers
Efficient Matrix-Based DCT Splitter/Merger for MPEG-2-to-AVC/H.264 Transform	kernel	Conversion, An
Efficient model selection for	kernel	logistic regression
Efficient Multi-frequency Phase Unwrapping Using	kernel	Density Estimation
Efficient Optimal	kernel	Placement for Reliable Visual Tracking
Efficient Particle Filtering via Sparse	kernel	Density Estimation
Efficient Photometric Stereo Using	kernel	Regression
Efficient reduction of support vectors in	kernel	-based methods
Efficient Relevance Feedback Using Semi-supervised	kernel	-specified K-means Clustering
efficient renovation on	kernel	Fisher discriminant analysis and face recognition experiments, An
Efficient semantic segmentation with Gaussian processes and histogram intersection	kernel	s
Efficient Similarity Derived from	kernel	-Based Transition Probability
Efficient Sparse Approximation of Support Vector Machines Solving a	kernel	Lasso
Efficient Sparse	kernel	Feature Extraction Based on Partial Least Squares
efficient star acquisition method based on SVM with mixtures of	kernel	s, An
efficient system for combining complementary	kernel	s in complex visual categorization tasks, An
Efficient, General Point Cloud Registration with	kernel	Feature Maps
Eigenshape	kernel	based mean shift for human tracking
Emotion Recognition From Multimodal Physiological Signals Using a Regularized Deep Fusion of	kernel	Machine
Emotional Expression Classification Using Time-Series	kernel	s
Empirical error based optimization of SVM	kernel	s: Application to digit image recognition
Empirical Studies of	kernel	Methods for Face Recognition
End-to-End Deep	kernel	Map Design for Image Annotation
End-to-end	kernel	learning via generative random Fourier features
Energy based fast event retrieval in video with temporal match	kernel
Enhanced Fast Encoding Method for Vector Quantization by Finding an Optimally-Ordered Walsh Transform	kernel
Enhanced	kernel	-Based Tracking for Monochromatic and Thermographic Video
Enhanced Micro-Doppler Feature Extraction Using Adaptive Short-Time	kernel	-Based Sparse Time-Frequency Distribution
Enhancing deep neural networks via multiple	kernel	learning
Enhancing Non-line-of-sight Imaging via Learnable Inverse	kernel	and Attention Mechanisms
Enriched Robust Multi-View	kernel	Subspace Clustering
ENSO Prediction Model Based on Backtracking Multiple Initial Values: Ordinary Differential Equations-Memory	kernel	Function, An
Equiangular	kernel	Dictionary Learning with Applications to Dynamic Texture Analysis
Essence of	kernel	Fisher discriminant: KPCA plus LDA
Estimating adaptive	kernel	s from local image grey value changes
Estimating an Image's Blur	kernel	Using Natural Image Statistics, and Deblurring it: An Analysis of the Goldstein-Fattal Method
Estimating average growth trajectories in shape-space using	kernel	smoothing
Estimating Generalized Gaussian Blur	kernel	s for Out-of-Focus Image Deblurring
Estimating Illumination Chromaticity via	kernel	Regression
Estimation of Cyclostationary Codebooks for	kernel	Adaptive Filtering
Estimation of forest canopy structural parameters using	kernel	-driven bi-directional reflectance model based multi-angular vegetation indices
Estimation of vegetation traits with	kernel	NDVI
Evaluating logarithmic	kernel	for spectral reflectance estimation: Effects on model parametrization, training set size, and number of sensor spectral channels
Evaluating the Performance of a Random Forest	kernel	for Land Cover Classification
Evaluation measures for	kernel	optimization
Evaluation of Four	kernel	-Driven Models in the Thermal Infrared Band
Evaluation of graph embedding approach for dimensionality reduction using different	kernel	s
Evaluation of Linear	kernel	-Driven BRDF Models over Snow-Free Rugged Terrain
Evaluation of the performance of clustering algorithms in	kernel	-induced feature space
Evaluation of the Snow Albedo Retrieved from the Snow	kernel	Improved the Ross-Roujean BRDF Model
Evaluation of Wavelet	kernel	s for Palmprint Based Recognition, An
Event-based Blur	kernel	Estimation For Blind Motion Deblurring
Example-based image super-resolution via blur	kernel	estimation and variational reconstruction
Exemplar-Guided Similarity Learning on Polynomial	kernel	Feature Map for Person Re-identification
Expanding the Family of Grassmannian	kernel	s: An Embedding Perspective
Expansive competitive learning for	kernel	vector quantization
experimental evaluation of linear and	kernel	-based methods for face recognition, An
Explicit Embeddings for Nearest Neighbor Search with Mercer	kernel	s
Exploiting Fisher	kernel	s in Decoding Severely Noisy Document Images
Exploiting	kernel	Sparsity and Entropy for Interpretable CNN Compression
Exploiting superpixel and hybrid hash for	kernel	-based visual tracking
Exploiting the Circulant Structure of Tracking-by-Detection with	kernel	s
Exploration in Mapping	kernel	-Based Home Range Models from Remote Sensing Imagery with Conditional Adversarial Networks
Explore Image Deblurring via Encoded Blur	kernel	Space
Exploring	kernel	Based Spatial Context for CNN Based Hyperspectral Image Classification
Exploring	kernel	discriminant analysis for speaker verification with limited test data
Exploring	kernel	-Based Texture Transfer for Pose-Guided Person Image Generation
Exploring Spatial Patterns of Virginia Tornadoes Using	kernel	Density and Space-Time Cube Analysis (1960-2019)
Exploring the Use of Efficient Projection	kernel	s for Motion Saliency Estimation
Expression Microarray Data Classification Using Counting Grids and Fisher	kernel
Extended Analyses for an Optimal	kernel	in a Class of Kernels with an Invariant Metric
Extended Analyses for an Optimal	kernel	in a Class of Kernels with an Invariant Metric
Extended cuckoo search-based	kernel	correlation filter for abrupt motion tracking
Extending a Linear	kernel	-Driven BRDF Model to Realistically Simulate Reflectance Anisotropy Over Rugged Terrain
Extending Compressive Bilateral Filtering For Arbitrary Range	kernel
Extending	kernel	Fisher Discriminant Analysis with the Weighted Pairwise Chernoff Criterion
extension of	kernel	learning methods using a modified Log-Euclidean distance for fast and accurate skeleton-based Human Action Recognition, An
Extracting Point of Interests From Movement Data Using	kernel	Density And Weighted K-means
Extraction of Windows in Facade Using	kernel	on Graph of Contours
Extreme learning machine with feature mapping of	kernel	function
Extreme Learning Machine with Superpixel-Guided Composite	kernel	s for SAR Image Classification
Extreme learning machines with expectation	kernel	s
Fabric defect detection using saliency of multi-scale local steering	kernel
Face Alignment With	kernel	Density Deep Neural Network
Face and palmprint pixel level fusion and	kernel	DCV-RBF classifier for small sample biometric recognition
Face Annotation Using Transductive	kernel	Fisher Discriminant
Face Classification based on Shannon Wavelet	kernel	and Modified Fisher Criterion
Face Classification under Different	kernel	Function Compared to KNN Classifier
Face detection based on	kernel	fisher discriminant analysis
Face hallucination using OLPP and	kernel	Ridge Regression
Face Hallucination via Coarse-to-Fine Recursive	kernel	Regression Structure
Face obscuration in a video sequence by integrating	kernel	-based mean-shift and active contour
Face Recognition Based on Nonlinear DCT Discriminant Feature Extraction Using Improved	kernel	DCV
Face Recognition by Combining	kernel	Associative Memory and Gabor Transforms
Face Recognition from Face Motion Manifolds using Robust	kernel	Resistor-Average Distance
Face Recognition in Videos: A Graph Based Modified	kernel	Discriminant Analysis
Face recognition under pose variation with active shape model to adjust Gabor filter	kernel	s and to correct feature extraction location
Face recognition using a	kernel	fractional-step discriminant analysis algorithm
Face recognition using	kernel	based Fisher discriminant analysis
Face Recognition Using	kernel	Eigenfaces
Face recognition using	kernel	principal component analysis
Face Recognition Using	kernel	Ridge Regression
Face Recognition Using Symbolic KPCA Plus Symbolic LDA in the Framework of Symbolic Data Analysis: Symbolic	kernel	Fisher Discriminant Method
Face Recognition with Weighted	kernel	Principal Component Analysis
Face Reconstruction with Low Resolution Facial Images by Feature Vector Projection in	kernel	Space
Face Verification Using Colour	kernel	s
Face verification with a	kernel	fusion method
Face-iris multi-modal biometric system using multi-resolution Log-Gabor filter with spectral regression	kernel	discriminant analysis
Facial Action Unit Detection Using Active Learning and an Efficient Non-linear	kernel	Approximation
Facial action unit detection using	kernel	partial least squares
Facial Analysis With a Lie Group	kernel
Facial expression analysis by	kernel	figenspace method based on class features (kemc) using non-linear basis for separation of expression-classes
Facial Expression Recognition in Videos Using Dynamic	kernel	s
Facial feature extraction by	kernel	independent component analysis
Facial Recognition Using Multisensor Images Based on Localized	kernel	Eigen Spaces
Facial recognition/verification using gabor wavelets and	kernel	methods
Factorizing and Reconstituting Large-	kernel	MBConv for Lightweight Face Recognition
Families of Tuned Scale-Space	kernel	s
Family of Novel Graph	kernel	s for Structural Pattern Recognition, A
Family of Regularizing	kernel	s for Averaging in the Presence of Template Jitter
Fast 2D Complex Gabor Filter With	kernel	Decomposition
Fast Algorithm for Local Minimum and Maximum Filters on Rectangular and Octagonal	kernel	s, A
Fast Algorithms for Linear and	kernel	SVM+
Fast and Automatically Adjustable GRBF	kernel	Based Fuzzy C-Means for Cluster-wise Coloured Feature Extraction and Segmentation of MR Images
Fast and Efficient Pedestrian Detection via the Cascade Implementation of an Additive	kernel	Support Vector Machine
Fast and Efficient Saliency Detection Using Sparse Sampling and	kernel	Density Estimation
Fast approximate	kernel	-based similarity search for image retrieval task
Fast approximated relational and	kernel	clustering
Fast Approximation of Distance Between Elastic Curves using	kernel	s
Fast automatic medical image segmentation based on spatial	kernel	fuzzy c-means on level set method
Fast Bilateral Filter With Arbitrary Range and Domain	kernel	s
Fast Binary Dilation/Erosion Algorithm Using	kernel	Subdivision
Fast computation of geometric moments using a symmetric	kernel
Fast cross-validation algorithms for least squares support vector machine and	kernel	ridge regression
Fast Cross-Validation for	kernel	-Based Algorithms
Fast depth-based subgraph	kernel	s for unattributed graphs
Fast Exact Evaluation of Univariate	kernel	Sums
Fast Global	kernel	Density Mode Seeking with Application to Localisation and Tracking
Fast Global	kernel	Density Mode Seeking: Applications to Localization and Tracking
Fast Gradient Computation for Learning with Tensor Product	kernel	s and Sparse Training Labels
Fast Hierarchical Correlations with Gaussian-Like	kernel	s
Fast High-Dimensional	kernel	Filtering
Fast image filtering by DCT-based	kernel	decomposition and sequential sum update
fast iterative	kernel	PCA feature extraction for hyperspectral images, A
Fast Jensen-Shannon Subgraph	kernel	, A
Fast	kernel	Generalized Discriminative Common Vectors for Feature Extraction
Fast	kernel	learning for spatial pyramid matching
Fast	kernel	Smoothing by a Low-Rank Approximation of the Kernel Toeplitz Matrix
Fast	kernel	Smoothing by a Low-Rank Approximation of the Kernel Toeplitz Matrix
Fast	kernel	Sparse Representation
Fast	kernel	SVM training via support vector identification
fast	kernel	-based nonlinear discriminant analysis for multi-class problems, A
Fast L_0-Regularized	kernel	Estimation for Robust Motion Deblurring
Fast matting using large	kernel	matting Laplacian matrices
Fast medical image mixture density clustering segmentation using stratification sampling and	kernel	density estimation
Fast O(1) Bilateral Filtering Using Trigonometric Range	kernel	s
Fast Polynomial Approximation of Heat	kernel	Convolution on Manifolds and Its Application to Brain Sulcal and Gyral Graph Pattern Analysis
Fast protein homology and fold detection with sparse spatial sample	kernel	s
Fast Vehicle Routing via Knowledge Transfer in a Reproducing	kernel	Hilbert Space
feature and spatial covariant	kernel	: Adding implicit spatial constraints to histogram, The
Feature Combination in	kernel	Space for Distance Based Image Hashing
Feature combination with Multi-	kernel	Learning for fine-grained visual classification
Feature Extraction for Iris Recognition Based on Optimized Convolution	kernel	s
Feature Extraction Using Low-Rank Approximations of the	kernel	Matrix
Feature	kernel	Functions: Improving SVMs Using High-Level Knowledge
Feature Relevance for	kernel	Logistic Regression and Application to Action Classification
Feature Selection and	kernel	Learning for Local Learning-Based Clustering
Feature selection and learning for graphlet	kernel
Feature Selection with	kernel	Class Separability
Feature Space Independent Semi-Supervised Domain Adaptation via	kernel	Matching
Feature Space Interpretation of SVMs with Indefinite	kernel	s
Feature-Level Fusion of Hand Biometrics for Personal Verification Based on	kernel	PCA
Feature-preserving	kernel	diffusion for surface denoising
Fiducial point tracking for facial expression using multiple particle filters with	kernel	correlation analysis
Filter Forests for Learning Data-Dependent Convolutional	kernel	s
Filtering with gray-code	kernel	s
Finding the	kernel	of planar shapes
Fine-grained action recognition using dynamic	kernel	s
Fish age analysis and classification with	kernel	methods
Fisher	kernel	Coding Framework for High Spatial Resolution Scene Classification, The
Fisher	kernel	Temporal Variation-based Relevance Feedback for video retrieval
Fisher	kernel	s for Handwritten Word-spotting
Fisher	kernel	s on Visual Vocabularies for Image Categorization
Fisher+	kernel	Criterion for Discriminant Analysis
FKAConv: Feature-	kernel	Alignment for Point Cloud Convolution
Flatten a Curved Space by	kernel
Flexible Hypersurface Fitting with RBF	kernel	s
Flow-based	kernel	Prior with Application to Blind Super-Resolution
food image recognition system with Multiple	kernel	Learning, A
Foreground detection using spatiotemporal projection	kernel	s
Formulation of Two Stage Multiple	kernel	Learning Using Regression Framework
Four-neighborhood clique	kernel	: A general framework for Bayesian and variational techniques of noise reduction in magnetic resonance images of the brain
Fourier	kernel	Learning
FPGA-GPU architecture for	kernel	SVM pedestrian detection
Fragment-based tracking using online multiple	kernel	learning
Framework for 3D Object Recognition Using the	kernel	Constrained Mutual Subspace Method, A
Framework for Automatic Selection of	kernel	s based on Convolutional Neural Networks and CkMeans Clustering Algorithm
Framework for Image Segmentation Using Shape Models and	kernel	Space Shape Priors, A
Free form face recognition using	kernel	sparse representation
Free-hand sketch recognition by multi-	kernel	feature learning
Frequency Domain Analysis and Synthesis of Image Pyramid Generating	kernel	s
From Local	kernel	to Nonlocal Multiple-Model Image Denoising
From Sample Similarity to Ensemble Similarity: Probabilistic Distance Measures in Reproducing	kernel	Hilbert Space
Fruit Fly-Based Artificial Neural Network Classifier with	kernel	-Based Fuzzy c-Means Clustering for Satellite Image Classification
FT-DeepNets: Fault-Tolerant Convolutional Neural Networks with	kernel	-based Duplication
Fully-automated person re-identification in multi-camera surveillance system with a robust	kernel	descriptor and effective shadow removal method
Function Dot Product	kernel	s for Support Vector Machine
Functional Learning of	kernel	s for Information Fusion Purposes
Fusing Gabor and LBP Feature Sets for	kernel	-Based Face Recognition
Fusing landmark-based features at	kernel	level for face recognition
Fusing R Features and Local Features with Context-Aware	kernel	s for Action Recognition
Fusion and classification of multi-source images by SVM with selected features in a	kernel	space
Fusion of Gaussian	kernel	s Within Support Vector Classification
Fusion of Multiple Camera Views for	kernel	-Based 3D Tracking
Fuzzy C-Means Clustering With Local Information and	kernel	Metric for Image Segmentation
Fuzzy discriminant analysis with	kernel	methods
Gabor feature based face recognition using	kernel	methods
Gabor	kernel	s for Textured Image Representation and Classification
Gabor wavelets and	kernel	direct discriminant analysis for face .recognition
Gabor-Based	kernel	PCA With Doubly Nonlinear Mapping for Face Recognition With a Single Face Image
Gabor-based	kernel	PCA with fractional power polynomial models for face recognition
Gauss-like Logarithmic	kernel	Function to improve the performance of kernel machines on the small datasets
Gauss-like Logarithmic	kernel	Function to improve the performance of kernel machines on the small datasets
Gaussian ERP	kernel	Classifier for Pulse Waveforms Classification
Gaussian	kernel	c-means hard clustering algorithms with automated computation of the width hyper-parameters
Gaussian	kernel	for Kendall's space of m-D shapes, A
Gaussian	kernel	fuzzy c-means with width parameter computation and regularization
Gaussian	kernel	optimization for pattern classification
Gaussian	kernel	-Based Cross Modal Network for Spatio-Temporal Video Grounding
Gaussian	kernel	-based fuzzy c-means algorithm with a spatial bias correction, A
Gaussian	kernel	-Based Multi-Histogram Equalization
Gaussian Process Regression for Transportation System Estimation and Prediction Problems: The Deformation and a Hat	kernel
Gaussian Process Regression Framework for Spatial Error Concealment with Adaptive	kernel	s, A
Gaussian RBF Centered	kernel	Alignment (CKA) in the Large-Bandwidth Limit
Gene subset selection in	kernel	-induced feature space
General	kernel	function for electronic halftone generation
general non-local denoising model using multi-	kernel	-induced measures, A
Generalized Chebyshev	kernel	s for Support Vector Classification
Generalized Composite	kernel	Framework for Hyperspectral Image Classification
Generalized discriminant analysis via	kernel	exponential families
Generalized Histogram Intersection	kernel	for Image Recognition
Generalized k-means-based clustering for temporal data under weighted and	kernel	time warp
Generalized	kernel	Consensus-Based Robust Estimator, A
Generalized	kernel	-Based Visual Tracking
Generalized Separable	kernel	Family with Compact Support, to Improve Visual Data Quality of Gray Level Images, in Scale Space, A
Generalizing intersection	kernel	support vector machines for color texture based recognition
Generating Dynamic	kernel	s via Transformers for Lane Detection
Generating Fixed-Length Representation From Minutiae Using	kernel	Methods for Fingerprint Authentication
Generating Stable Structure Using Scale-Space Analysis with Non-Uniform Gaussian	kernel	s
Geodesic exponential	kernel	s: When curvature and linearity conflict
Geodesic flow	kernel	for unsupervised domain adaptation
Geodesic Flow	kernel	Support Vector Machine for Hyperspectral Image Classification by Unsupervised Subspace Feature Transfer
Geodesic squared exponential	kernel	for non-rigid shape registration
Geometric characterization and clustering of graphs using heat	kernel	embeddings
Geometric Mesh Denoising via Multivariate	kernel	Diffusion
Geometry Aware Local	kernel	s for Object Recognition
Geometry of Nonlinear Embeddings in	kernel	Discriminant Analysis, The
Geotagged Photo Recognition Using Corresponding Aerial Photos with Multiple	kernel	Learning
Getting Robust Observation for Single Object Tracking: A Statistical	kernel	-Based Approach
GKEAL: Gaussian	kernel	Embedded Analytic Learning for Few-Shot Class Incremental Task
Glioma extraction from MR images employing Gradient Based	kernel	Selection Graph Cut technique
Globally convergent range image registration by graph	kernel	algorithm
GOSAT CH4 Vertical Profiles over the Indian Subcontinent: Effect of a Priori and Averaging	kernel	s for Climate Applications
Gossiped and Quantized Online Multi-	kernel	Learning
GPU acceleration of image convolution using spatially-varying	kernel
Gradient-based	kernel	selection technique for tumour detection and extraction of medical images using graph cut
Gram-Schmidt-Based Sparsification for	kernel	Dictionary
Graph characteristics from the heat	kernel	trace
Graph Characterization Using Wave	kernel	Trace
Graph Clustering Using the Jensen-Shannon	kernel
Graph Embedding Multi-	kernel	Metric Learning for Image Set Classification With Grassmannian Manifold-Valued Features
Graph	kernel	Encoding Substituents' Relative Positioning
Graph	kernel	from the Depth-Based Representation, A
Graph	kernel	Incorporating Molecule's Stereisomerism Information, A
Graph	kernel	s based on relevant patterns and cycle information for chemoinformatics
Graph	kernel	s from the Jensen-Shannon Divergence
Graph	kernel	s: Crossing Information from Different Patterns Using Graph Edit Distance
Graph Laplacian	kernel	s for Object Classification from a Single Example
Graph mode-based contextual	kernel	s for robust SVM tracking
Graph spectral image smoothing using the heat	kernel
Graph-based transformation manifolds for invariant pattern recognition with	kernel	methods
Graph-	kernel	Method for Re-identification, A
graph-matching	kernel	for object categorization, A
graphkit-learn: A Python library for graph	kernel	s based on linear patterns
Gray-Code Filter	kernel	s, The
Greedy Algorithm for a Training Set Reduction in the	kernel	Methods
Greedy Approximation of	kernel	PCA by Minimizing the Mapping Error
Greedy dictionary learning for	kernel	sparse representation based classifier
Greedy	kernel	Principal Component Analysis
Ground-Moving-Platform-Based Human Tracking Using Visual SLAM and Constrained Multiple	kernel	s
Group-sensitive multiple	kernel	learning for object categorization
Group-Sensitive Multiple	kernel	Learning for Object Recognition
Grouping-based Oversampling in	kernel	Space for Imbalanced Data Classification
Haar Random Forest Features and SVM Spatial Matching	kernel	for Stonefly Species Identification
HAck: A system for the recognition of human actions by	kernel	s of visual strings
Hand Shape Recognition Based on	kernel	Orthogonal Mutual Subspace Method
Handwritten Chinese Character Recognition Using Modified LDA and	kernel	FDA
Handwritten word image matching based on Heat	kernel	Signature
Hash-SVM: Scalable	kernel	Machines for Large-Scale Visual Classification
Hausdorff	kernel	for 3D Object Acquisition and Detection
Have a SNAK. Encoding Spatial Information with the Spatial Non-alignment	kernel
Heat	kernel	Laplace-Beltrami Operator on Digital Surfaces
Heat	kernel	Smoothing of Scalar and Vector Image Data
Heat	kernel	Smoothing via Laplace-Beltrami Eigenfunctions and Its Application to Subcortical Structure Modeling
Heat	kernel	s for Non-Rigid Shape Retrieval: Sparse Representation and Efficient Classification
Heat	kernel	s of generalized laplacians-application to color image smoothing
Helicobacter pylori infection detection from multiple x-ray images based on combination use of support vector machine and multiple	kernel	learning
HetConv: Beyond Homogeneous Convolution	kernel	s for Deep CNNs
HetConv: Heterogeneous	kernel	-Based Convolutions for Deep CNNs
Heterogeneous Face Recognition Using	kernel	Prototype Similarities
heuristic k-means clustering algorithm by	kernel	pca, A
Heuristic optimization-based wave	kernel	descriptor for deformable 3D shape matching and retrieval
HEVC-Compliant Perceptual Video Coding Scheme Based on JND Models for Variable Block-Sized Transform	kernel	s, An
Hidden Markov Models with	kernel	Density Estimation of Emission Probabilities and their Use in Activity Recognition
Hierarchical 3D	kernel	descriptors for action recognition using depth sequences
Hierarchical Bag of Paths for	kernel	Based Shape Classification
Hierarchical class-specific	kernel	discriminant analysis for face verification
Hierarchical feature concatenation-based	kernel	sparse representations for image categorization
hierarchical image	kernel	with application to pedestrian identification for video surveillance, A
Hierarchical	kernel	fitting for fingerprint classification and alignment
Hierarchical	kernel	-based rotation and scale invariant similarity
Hierarchical Pairwise Segmentation Using Dominant Sets and Anisotropic Diffusion	kernel	s
Hierarchical Spatial Matching	kernel	for Image Categorization
High Efficiency Digital Halftoning with Two-Element Error	kernel
High energy flash X-ray image restoration using region extrema and	kernel	optimization
High Temporal-Resolution Dynamic PET Image Reconstruction Using a New Spatiotemporal	kernel	Method
High-precision two-	kernel	Chinese character recognition in general document processing systems
High-Speed Tracking with Multi-	kernel	Correlation Filters
Higher-level representation of local spatio-temporal features for human action recognition using Subspace Matching	kernel	s
Higher-Order Pooling of CNN Features via	kernel	Linearization for Action Recognition
Hinting Pipeline and Multivariate Regression CNN for Maize	kernel	Counting on the Ear
Histogram intersection	kernel	for image classification
Histograms of oriented optical flow and Binet-Cauchy	kernel	s on nonlinear dynamical systems for the recognition of human actions
Historical Hand-Written String Recognition by Non-linear Discriminant Analysis using	kernel	Feature Selection
HOG-Dot: A Parallel	kernel	-Based Gradient Extraction for Embedded Image Processing
Homotopic Thinning in 2D and 3D Cubical Complexes Based on Critical	kernel	s
Hough Transform Algorithm with a 2D Hypothesis-Testing	kernel	, A
How Good Is	kernel	Descriptor on Depth Motion Map for Action Recognition
How Is the Confidentiality of Crime Locations Affected by Parameters in	kernel	Density Estimation?
How to Estimate the Regularization Parameter for Spectral Regression Discriminant Analysis and its	kernel	Version?
How to Transform	kernel	s for Scale-Convolutions
Human Action Recognition Based on Context-Dependent Graph	kernel	s
Human activity recognition using multi-features and multiple	kernel	learning
Human Motion De-noising via Greedy	kernel	Principal Component Analysis Filtering
Human Motion Segmentation via Robust	kernel	Sparse Subspace Clustering
Human Tracking by Multiple	kernel	Boosting with Locality Affinity Constraints
Hybrid HMM-Based Speech Recognizer Using	kernel	-Based Discriminants as Acoustic Models, A
Hybrid	kernel	Machine Ensemble for Imbalanced Data Sets
Hybrid	kernel	-Based Change Detection Method for Remotely Sensed Data in a Similarity Space, A
Hybrid model of clustering and	kernel	autoassociator for reliable vehicle type classification
Hybrid multi-GPU computing: accelerated	kernel	s for segmentation and object detection with medical image processing applications
hybrid reproducing graph	kernel	based on information entropy, A
Hybrid segmentation method based on multi-scale Gaussian	kernel	fuzzy clustering with spatial bias correction and region-scalable fitting for breast US images
Hydroacoustic Signal Classification Using	kernel	Functions for Variable Feature Sets
Hypergraph	kernel	from Isomorphism Tests, A
Hyperparameter-Free Localized Simple Multiple	kernel	K-means With Global Optimum
HyperShot: Few-Shot Learning by	kernel	HyperNetworks
Hyperspectral anomaly detection using	kernel	rx-algorithm
Hyperspectral Anomaly Detection With	kernel	Isolation Forest
Hyperspectral classification using a composite	kernel	driven by nearest-neighbor spatial features
Hyperspectral Classification via Superpixel	kernel	Learning-Based Low Rank Representation
Hyperspectral Dimensionality Reduction Based on Multiscale Superpixelwise	kernel	Principal Component Analysis
Hyperspectral Image Classification Method Based on Adaptive Spectral Spatial	kernel	Combined with Improved Vision Transformer, A
Hyperspectral Image Classification via	kernel	Basic Thresholding Classifier
Hyperspectral Image Classification via	kernel	Sparse Representation
Hyperspectral image classification with multiple	kernel	Boosting algorithm
Hyperspectral image classification with support vector machines on	kernel	distribution embeddings
Hyperspectral Image	kernel	Sparse Subspace Clustering With Spatial Max Pooling Operation
Hyperspectral remote sensing IQA via learning multiple	kernel	s from mid-level features
Hyperspectral target detection using	kernel	matched subspace detector
Hyperspectral Target Detection Using	kernel	Orthogonal Subspace Projection
Hyperspectral Target Detection Using	kernel	Spectral Matched Filter
Hyperspectral Unmixing Based on Incremental	kernel	Nonnegative Matrix Factorization
ICA-Evolution Based Data Augmentation with Ensemble Deep Neural Networks Using Time and Frequency	kernel	s for Emotion Recognition from EEG-Data
Identification of insect damaged wheat	kernel	s using transmittance images
Identification of Morphologically Similar Seeds Using Multi-	kernel	Learning
Identification of non linear system modeled in Reproducing	kernel	Hilbert Space using a new criterion
Identity Determination with Offline Handwritten Input Using Multi	kernel	Feature Combination
Image and Video Colorization Using Vector-Valued Reproducing	kernel	Hilbert Spaces
Image and Video Restorations via Nonlocal	kernel	Regression
Image and Video Segmentation by Anisotropic	kernel	Mean Shift
Image categorization using Fisher	kernel	s of non-iid image models
Image categorization with spatial mismatch	kernel	s
Image Classification Using Convolutional Neural Networks and	kernel	Extreme Learning Machines
Image Classification Using Marginalized	kernel	s for Graphs
Image Classification With Densely Sampled Image Windows and Generalized Adaptive Multiple	kernel	Learning
Image Classification with Segmentation Graph	kernel	s
Image Deblurring Using Fast Best	kernel	Retrieval
Image deblurring with blur	kernel	estimation from a reference image patch
Image Deconvolution with Deep Image and	kernel	Priors
Image denoising with a multi-phase	kernel	principal component approach and an ensemble version
Image inpainting with LS-SVM based on additive high order	kernel
Image Interpolation by Blending	kernel	s
Image Interpolation Using Texture Orientation Map and	kernel	Fisher Discriminant
Image partitioning with	kernel	mapping and graph cuts
Image Quality Assessment Using	kernel	Sparse Coding
Image Reconstruction by Convolution with Symmetrical Piecewise nth-Order Polynomial	kernel	s
Image registration based on	kernel	-predictability
Image retrieval by local evaluation of nonlinear	kernel	functions around salient points
Image retrieval with graph	kernel	on regions
Image Search with Selective Match	kernel	s: Aggregation Across Single and Multiple Images
Image segmentation in a	kernel	-induced space
Image segmentation utilizing wavelet-based spatially adaptive	kernel	s
Image segmentation via convolution of a level-set function with a Rigaut	kernel
Image Set Classification Using Holistic Multiple Order Statistics Features and Localized Multi-	kernel	Metric Learning
Image Sharpness Metric Based on Maxpol Convolution	kernel	s
Image Super-Resolution Using Local Learnable	kernel	Regression
Image Super-Resolution Via Non-Local Steering	kernel	Regression Regularization
ImageCLEF annotation with explicit context-aware	kernel	maps
impact of isolation	kernel	on agglomerative hierarchical clustering algorithms, The
Implementation of Gaussian and Box	kernel	Based Approximation of Bilateral Filter Using OpenCL
Implicit Annealing in	kernel	Spaces: A Strongly Consistent Clustering Approach
Implicit	kernel	sparse shape representation: a sparse-neighbors-based objection segmentation framework
Implicit Shape	kernel	for Discriminative Learning of the Hough Transform Detector
Improved building detection by Gaussian processes classification via feature space rescale and spectral	kernel	selection
improved entropy-based multiple	kernel	learning, An
Improved fast gauss transform and efficient	kernel	density estimation
Improved interpolation	kernel	s for super resolution algorithms
Improved	kernel	Common Vector Method for Face Recognition
Improved	kernel	Common Vector Method for Face Recognition Varying in Background Conditions
Improved	kernel	Descriptors for Effective and Efficient Image Classification
Improved	kernel	Recursive Least Squares Algorithm Based Online Prediction for Nonstationary Time Series
improved	kernel	-based Fuzzy C-means Algorithm with spatial information for brain MR image segmentation, An
Improved	kernel	-based IRIS recognition system in the framework of support vector machine and hidden markov model
Improved	kernel	-based limited-view CT reconstruction VIA anisotropic diffusion
Improved	kernel	-Based Object Tracking Under Occluded Scenarios
improved mean-shift tracker with	kernel	prediction and scale optimisation targeting for low-frame-rate video tracking, An
Improved multi-	kernel	classification machine with Nystrom approximation technique
Improved Online Support Vector Machines Spam Filtering Using String	kernel	s
Improved Possibilistic C-Means Algorithm Based on	kernel	Methods, An
improved sclera recognition using	kernel	entropy component analysis method, An
Improved Spectral Density Measurement from Estimated Reflectance Data with	kernel	Ridge Regression
Improved Tamura Features for Image Classification Using	kernel	Based Descriptors
Improved Topography-Coupled	kernel	-Driven Model for Land Surface Anisotropic Reflectance, An
Improvement of Decorrelation-Based OCT Angiography by an Adaptive Spatial-Temporal	kernel	in Monitoring Stimulus-Evoked Hemodynamic Responses
Improvement of	kernel	-Based Object Tracking Based on Human Perception, An
Improvement of Spatial Autocorrelation,	kernel	Estimation, and Modeling Methods by Spatial Standardization on Distance
Improving battery voltage prediction in an electric bicycle using altitude measurements and	kernel	adaptive filters
Improving Breast Mass Classification Through	kernel	Methods and the Fusion of Clinical Data and Image Descriptors
Improving Change Detection in Forest Areas Based on Stereo Panchromatic Imagery Using	kernel	MNF
Improving	kernel	Fisher Discriminant Analysis for Face Recognition
Improving Saliency Detection Via Multiple	kernel	Boosting and Adaptive Fusion
Improving the Downscaling of Diurnal Land Surface Temperatures Using the Annual Cycle Parameters as Disaggregation	kernel	s
Improving the Fisher	kernel	for Large-Scale Image Classification
Improving the Speed of	kernel	PCA on Large Scale Datasets
In-	kernel	Relay for Scalable One-to-Many Streaming
Incomplete Multiple	kernel	Alignment Maximization for Clustering
Incremental and compressible	kernel	null discriminant analysis
Incremental density approximation and	kernel	-based Bayesian filtering for object tracking
Incremental	kernel	Learning for Active Image Retrieval Without Global Dictionaries
Incremental	kernel	Null Foley-Sammon Transform for Person Re-identification
Incremental	kernel	Null Space Discriminant Analysis for Novelty Detection
Incremental	kernel	PCA for Efficient Non-linear Feature Extraction
Incremental	kernel	Principal Component Analysis
Incremental	kernel	SVD for Face Recognition with Image Sets
Incremental learning based on block sparse	kernel	nonnegative matrix factorization
Incremental Multiple	kernel	Learning for Object Recognition
Incremental Slow Feature Analysis with Indefinite	kernel	for Online Temporal Video Segmentation
Indefinite	kernel	Fisher Discriminant
Indefinite	kernel	spectral learning
Individual	kernel	Tensor-Subspaces for Robust Face Recognition: A Computationally Efficient Tensor Framework Without Requiring Mode Factorization
Individualized learning for improving	kernel	Fisher discriminant analysis
Inexact graph matching based on	kernel	s for object retrieval in image databases
Infrared Small Target Detection Based on Facet	kernel	and Random Walker
Integrated Approach for Generic Object Detection Using	kernel	PCA and Boosting, An
Integrated	kernel	s and their properties
Integrating external knowledge into SVM classification: Fusing hyperspectral and laserscanning data by	kernel	composition.
Integration of prior knowledge of measurement noise in	kernel	density classification
Interactive image segmentation via	kernel	propagation
Intercomparison of Remote Sensing Retrievals: An Examination of Prior-Induced Biases in Averaging	kernel	Corrections
Interferences in Match	kernel	s
Interpolation	kernel	Machines: Reducing Multiclass to Binary
Interpretable time series	kernel	analytics by pre-image estimation
Intra-personal	kernel	space for face recognition
Intra-Pulse Modulation Classification of Radar Emitter Signals Based on a 1-D Selective	kernel	Convolutional Neural Network
Invariance in	kernel	Methods by Haar-Integration Kernels
Invariance in	kernel	Methods by Haar-Integration Kernels
Invariances in	kernel	methods: From samples to objects
Invariant Texture Classification Using Group Averaging with Relational	kernel	Functions
Invariants to Symmetrical Convolution with Application to Dihedral	kernel	Symmetry
Inverse Composition for Multi-	kernel	Tracking
Inverse halftoning and	kernel	estimation for error diffusion
Inverse	kernel	s for Fast Spatial Deconvolution
Inversion of convolution by small	kernel	s
Invertible	kernel	PCA With Random Fourier Features
IPCONV: Convolution with Multiple Different	kernel	s for Point Cloud Semantic Segmentation
IR and visible face recognition using fusion of	kernel	based features
Iris Image Blur Detection with Multiple	kernel	Learning
Isotropic	kernel	s for Two-Dimensional Image Interpolation
Iterative Category Discovery via Multiple	kernel	Metric Learning
Iterative Closest Spectral	kernel	Maps
Iterative	kernel	Principal Component Analysis for Image Modeling
Iterative	kernel	Reconstruction for Deep Learning-Based Blind Image Super-Resolution
Jensen-Shannon Divergence	kernel	for Directed Graphs, A
Jensen-Shannon graph	kernel	using information functionals
Jensen-Shannon	kernel	for Hypergraphs, A
Joint Affine and Radiometric Registration Using	kernel	Operators
joint appearance-spatial distance for	kernel	-based image categorization, A
Joint Diagonalization of	kernel	s for Information Fusion
Joint Domain-Range Modeling of Dynamic Scenes with Adaptive	kernel	Bandwidth
Joint	kernel	Learning for Supervised Image Segmentation
Jointly Learning	kernel	Representation Tensor and Affinity Matrix for Multi-View Clustering
K3DN: Disparity-Aware	kernel	Estimation for Dual-Pixel Defocus Deblurring
KCRC-LCD: Discriminative	kernel	collaborative representation with locality constrained dictionary for visual categorization
KCS--New--New	kernel	Family with Compact Support in Scale Space: Formulation and Impact
KDD: A	kernel	density based descriptor for 3D point clouds
Kecor:	kernel	Coding Rate Maximization for Active 3D Object Detection
Kendall and Mallows	kernel	s for Permutations, The
	kernel	active contour
	kernel	alignment for identifying objective criteria from brain MEG recordings in schizophrenia
	kernel	alignment for unsupervised transfer learning
	kernel	analysis on Grassmann manifolds for action recognition
	kernel	analysis over Riemannian manifolds for visual recognition of actions, pedestrians and textures
	kernel	and subspace methods for computer vision
	kernel	Anomalous Change Detection for Remote Sensing Imagery
	kernel	Approximation via Empirical Orthogonal Decomposition for Unsupervised Feature Learning
	kernel	Archetypal Analysis for Clustering Web Search Frequency Time Series
	kernel	Attention Transformer for Histopathology Whole Slide Image Analysis and Assistant Cancer Diagnosis
	kernel	auto-encoder for semi-supervised hashing
	kernel	Autoassociator Approach to Pattern Classification, A
	kernel	autoassociator with applications to visual classification
	kernel	Aware Resampler
	kernel	bandwidth estimation in methods based on probability density function modelling
	kernel	Based Approach for High Dimensional Heterogeneous Image Features Management in CBIR Context
	kernel	Based Image Registration Incorporating with Both Feature and Intensity Matching
	kernel	Based Multi-object Tracking Using Gabor Functions Embedded in a Region Covariance Matrix
	kernel	Based Multiple Cue Adaptive Appearance Model For Robust Real-time Visual Tracking
	kernel	Based Nonlinear Subspace Projection Method for Reduction of Hyperspectral, Image Dimensionality, A
	kernel	based sparse representation for face recognition
	kernel	based sub-pixel motion estimation
	kernel	Based Subspace Projection of Near Infrared Hyperspectral Images of Maize Kernels
	kernel	Based Subspace Projection of Near Infrared Hyperspectral Images of Maize Kernels
	kernel	Based Symmetry Measure
	kernel	Bisecting k-means clustering for SVM training sample reduction
	kernel	Bundle Diffeomorphic Image Registration Using Stationary Velocity Fields and Wendland Basis Functions
	kernel	Bundle EPDiff: Evolution Equations for Multi-scale Diffeomorphic Image Registration
	kernel	Centered Alignment Supervised Metric for Multi-Atlas Segmentation
	kernel	classification rules in the presence of missing values
	kernel	clustering-based discriminant analysis
	kernel	Clustering: Density Biases and Solutions
	kernel	Codebooks for Scene Categorization
	kernel	collaboration representation-based manifold regularized model for unconstrained face recognition
	kernel	collaborative face recognition
	kernel	Collaborative Representation With Local Correlation Features for Hyperspectral Image Classification
	kernel	Combination Through Genetic Programming for Image Classification
	kernel	Combined Sparse Representation for Disease Recognition
	kernel	Composition with the one-against-one Cascade for Integrating External Knowledge into SVM Classification
	kernel	compressive sensing
	kernel	Conditional Ordinal Random Fields for Temporal Segmentation of Facial Action Units
	kernel	Correlation as an Affinity Measure in Point-Sampled Vision Problems
	kernel	correlation filter tracking strategy based on adaptive fusion response map
	kernel	correlation-dissimilarity for Multiple Kernel k-Means clustering
	kernel	correlation-dissimilarity for Multiple Kernel k-Means clustering
	kernel	covariance image region description for object tracking
	kernel	Cross-Modal Factor Analysis for Information Fusion With Application to Bimodal Emotion Recognition
	kernel	cross-view collaborative representation based classification for person re-identification
	kernel	Cuts: Kernel and Spectral Clustering Meet Regularization
	kernel	Cuts: Kernel and Spectral Clustering Meet Regularization
	kernel	Deep Regression Network for Touch-Stroke Dynamics Authentication
	kernel	density based approach for large scale image retrieval, A
	kernel	Density Estimation and Intrinsic Alignment for Knowledge-Driven Segmentation: Teaching Level Sets to Walk
	kernel	Density Estimation and Intrinsic Alignment for Shape Priors in Level Set Segmentation
	kernel	density estimation based multichannel impulsive noise reduction filter
	kernel	density estimation based on Ripley's correction
	kernel	Density Estimation for Post Recognition Score Analysis
	kernel	Density Estimation on Riemannian Manifolds: Asymptotic Results
	kernel	Density Estimation on Spaces of Gaussian Distributions and Symmetric Positive Definite Matrices
	kernel	Density Estimation Using Joint Spatial-Color-Depth Data for Background Modeling
	kernel	density estimation with adaptive varying window size
	kernel	Density Estimator-Based Maximum A Posteriori Image Reconstruction Method for Dynamic Emission Tomography Imaging, A
	kernel	dependence regularizers and Gaussian processes with applications to algorithmic fairness
	kernel	descriptor based plant leaf identification
	kernel	design for real-time denoising implementation in low-resolution images
	kernel	Designs for Efficient Multiresolution Edge Detection and Orientation Estimation
	kernel	dictionary learning based discriminant analysis
	kernel	direct discriminant analysis and its theoretical foundation
	kernel	Discriminant Analysis Based on Canonical Differences for Face Recognition in Image Sets
	kernel	Discriminant Analysis for Positive Definite and Indefinite Kernels
	kernel	Discriminant Analysis for Positive Definite and Indefinite Kernels
	kernel	discriminant analysis for regression problems
	kernel	discriminant analysis of Block-wise Gaussian Derivative Phase Pattern Histogram for palmprint recognition
	kernel	Discriminant Correlation Analysis: Feature Level Fusion for Nonlinear Biometric Recognition
	kernel	Discriminant Embedding in face recognition
	kernel	discriminant transformation for image set-based face recognition
	kernel	discrimination via oblique projection
	kernel	Distance Metric Learning Using Pairwise Constraints for Person Re-Identification
	kernel	Domain Description with Incomplete Data: Using Instance-Specific Margins to Avoid Imputation
	kernel	Dual Linear Regression for Face Image Set Classification
	kernel	Eigenfaces vs. Kernel Fisherfaces: Face Recognition Using Kernel Methods
	kernel	Eigenfaces vs. Kernel Fisherfaces: Face Recognition Using Kernel Methods
	kernel	Eigenfaces vs. Kernel Fisherfaces: Face Recognition Using Kernel Methods
	kernel	eigenmaps based multiscale sparse model for hyperspectral image classification
	kernel	Eigenvoices (Revisited) for Large-Vocabulary Speech Recognition
	kernel	ELM and CNN Based Facial Age Estimation
	kernel	embedding transformation learning for graph matching
	kernel	Enhanced Informative Gabor Features for Face Recognition
	kernel	Entropy Component Analysis
	kernel	Entropy Component Analysis Pre-images for Pattern Denoising
	kernel	Entropy Component Analysis-Based Robust Hyperspectral Image Supervised Classification
	kernel	Entropy Discriminant Analysis for Dimension Reduction
	kernel	entropy principal component analysis using Parzen estimator
	kernel	estimation for motion blur removal using deep convolutional neural network
	kernel	estimation from blurred edge profiles using Radon Transform for shaken images
	kernel	estimation from salient structure for robust motion deblurring
	kernel	Feature Cross-correlation For Unsupervised Quantification Of Damage From Windthrow In Forests
	kernel	feature selection to fuse multi-spectral MRI images for brain tumor segmentation
	kernel	Feature Selection with Side Data Using a Spectral Approach
	kernel	Fisher Discriminant Analysis for Palmprint Recognition
	kernel	Fisher Discriminant and Elliptic Shape Model for Automatic Measurement of Allergic Reactions
	kernel	fractional-step nonlinear discriminant analysis for pattern recognition, A
	kernel	Framework for Content-Based Artist Recommendation System in Music, A
	kernel	Fukunaga-Koontz Transform Subspaces For Enhanced Face Recognition
	kernel	Function-tau-Wigner Distribution Associated With the Linear Canonical Transform
	kernel	functions for robust 3D surface registration with spectral embeddings
	kernel	fusion for better image deblurring
	kernel	Fusion for Image Classification Using Fuzzy Structural Information
	kernel	Fusion of Audio and Visual Information for Emotion Recognition
	kernel	fusion-refinement for semi-supervised nonlinear dimension reduction
	kernel	GBDA for Relevance Feedback in Image Retrieval
	kernel	generalized Gaussian and robust statistical learning for abnormality detection in medical images
	kernel	generalized nonlinear discriminant analysis algorithm for pattern recognition
	kernel	Granger Causality Mapping Effective Connectivity on fMRI Data
	kernel	Grassmannian distances and discriminant analysis for face recognition from image sets
	kernel	Hetero-associative Memory for Robust Face Recognition
	kernel	Hierarchical PCA for person re-identification
	kernel	Homotopy based sparse representation for object classification
	kernel	ICA: An alternative formulation and its application to face recognition
	kernel	independent component analysis
	kernel	indextng for relevance feedback image retrieval
	kernel	integral images: A framework for fast non-uniform filtering
	kernel	Joint Sparse Representation Based on Self-Paced Learning for Hyperspectral Image Classification
	kernel	k-Groups via Hartigan's Method
	kernel	K-Means Sampling for Nystrom Approximation
	kernel	Learning Algorithms for Face Recognition
	kernel	Learning for Dynamic Texture Synthesis
	kernel	Learning for Extrinsic Classification of Manifold Features
	kernel	least absolute shrinkage and selection operator regression classifier for pattern classification
	kernel	Least Mean p-Power Algorithm
	kernel	Least Mean Square with Single Feedback
	kernel	Likelihood Estimation for Superpixel Image Parsing
	kernel	logic approach for face and non-face classification, A
	kernel	Low-Rank and Sparse Graph for Unsupervised and Semi-Supervised Classification of Hyperspectral Images
	kernel	Low-Rank Multitask Learning in Variational Mode Decomposition Domain for Multi-/Hyperspectral Classification
	kernel	low-rank representation with elastic net for China coastal wetland land cover classification using GF-5 hyperspectral imagery
	kernel	Machine Based Approach for Multi-View Face Recognition, A
	kernel	Machine Based Learning for Multi-View Face Detection and Pose Estimation
	kernel	machine-based one-parameter regularized Fisher discriminant method for face recognition
	kernel	map compression using generalized radial basis functions
	kernel	Matched Signal Detectors for Hyperspectral Target Detection
	kernel	Matched Subspace Detectors for Hyperspectral Target Detection
	kernel	Matching Pursuit Approach to Man-Made Objects Detection in Aerial Images, A
	kernel	matching pursuit classifier ensemble
	kernel	matching pursuit for large datasets
	kernel	matrix decomposition via empirical kernel map
	kernel	matrix decomposition via empirical kernel map
	kernel	matrix trimming for improved Kernel K-means clustering
	kernel	matrix trimming for improved Kernel K-means clustering
	kernel	Maximum Autocorrelation Factor and Minimum Noise Fraction Transformations
	kernel	Maximum Mean Discrepancy for Region Merging Approach
	kernel	maximum scatter difference based feature extraction and its application to face recognition
	kernel	Mean P Power Error Loss for Robust Two-Dimensional Singular Value Decomposition
	kernel	Method Based On Topic Model For Very High Spatial Resolution (VHSR) Remote Sensing Image Classification, A
	kernel	Methods for Nonlinear Discriminative Data Analysis
	kernel	Methods for Pattern Analysis
	kernel	methods for point symmetry-based clustering
	kernel	methods for weakly supervised mean shift clustering
	kernel	Methods in Computer Vision
	kernel	Methods in Hyperbolic Spaces
	kernel	methods in orthogonalization of multi-and hypervariate data
	kernel	Methods on Riemannian Manifolds with Gaussian RBF Kernels
	kernel	Methods on Riemannian Manifolds with Gaussian RBF Kernels
	kernel	Methods on the Riemannian Manifold of Symmetric Positive Definite Matrices
	kernel	Metrics on Normal Cycles and Application to Curve Matching
	kernel	Minimum Noise Fraction Transformation-Based Background Separation Model for Hyperspectral Anomaly Detection
	kernel	Modeling Super-Resolution on Real Low-Resolution Images
	kernel	modified optimal margin distribution machine for imbalanced data classification
	kernel	Modified Quadratic Discriminant Function for Facial Expression Recognition
	kernel	Modified Quadratic Discriminant Function for Online Handwritten Chinese Characters Recognition
	kernel	Modulation: A Parameter-Efficient Method for Training Convolutional Neural Networks
	kernel	neural gas algorithms with application to cluster analysis
	kernel	non-rigid structure from motion
	kernel	Null Space Methods for Novelty Detection
	kernel	on Graphs Based on Dictionary of Paths for Image Retrieval
	kernel	Optimal Component Analysis
	kernel	Optimization Based Semi-Supervised KBDA Scheme for Image Retrieval
	kernel	Optimization in Discriminant Analysis
	kernel	optimization method based on the localized kernel Fisher criterion, A
	kernel	optimization method based on the localized kernel Fisher criterion, A
	kernel	Optimization Using a Generalized Eigenvalue Approach
	kernel	optimization using nonparametric Fisher criterion in the subspace
	kernel	oriented discriminant analysis for speaker-independent phoneme spaces
	kernel	Orthogonal Mutual Subspace Method and Its Application to 3D Object Recognition, The
	kernel	Orthogonal Subspace Projection for Hyperspectral Signal Classification
	kernel	Partial least square based feature selection method, A
	kernel	Partial Least Squares Based Hierarchical Building Change Detection Using High Resolution Aerial Images and Lidar Data
	kernel	Partial Least Squares for person re-identification
	kernel	Particle Filter for Real-Time 3D Body Tracking in Monocular Color Images
	kernel	Particle Filter for Visual Quality Inspection from Monocular Intensity Images
	kernel	Particle Filter for Visual Tracking
	kernel	particle filter multi-object tracking using gabor-based region covariance matrices, A
	kernel	particle filter: iterative sampling for efficient visual tracking
	kernel	path algorithm for general parametric quadratic programming problem, A
	kernel	PCA enabled bit-string representation for minutiae-based cancellable fingerprint template
	kernel	PCA for HMM-Based Cursive Handwriting Recognition
	kernel	PCA for novelty detection
	kernel	PCA for road traffic data non-linear feature extraction
	kernel	PCA of HOG features for posture detection
	kernel	PCA-based semantic feature estimation approach for similar image retrieval
	kernel	PLS regression for robust monocular pose estimation
	kernel	Pooled Local Subspaces for Classification
	kernel	Pooling for Convolutional Neural Networks
	kernel	principal angles for classification machines with applications to image sequence interpretation
	kernel	Principal Component Analysis and the construction of non-linear Active Shape Models
	kernel	Principal Component Analysis for Texture Classification
	kernel	Principal Component Analysis of Gabor Features for Palmprint Recognition
	kernel	Procrustes
	kernel	propagation strategy: A novel out-of-sample propagation projection for subspace learning
	kernel	quadratic discriminant analysis for small sample size problem
	kernel	Recursive Generalized Maximum Correntropy
	kernel	Recursive Least Squares Algorithm Based on the Nystrom Method With k-Means Sampling
	kernel	Reference Discriminant Analysis
	kernel	Regression for Image Processing and Reconstruction
	kernel	regression in mixed feature spaces for spatio-temporal saliency detection
	kernel	Regularization for Image Restoration
	kernel	Regularized Data Uncertainty for Action Recognition
	kernel	Relative-prototype Spectral Filtering for Few-Shot Learning
	kernel	Ridge Regression Hybrid Method for Wheat Yield Prediction with Satellite-Derived Predictors
	kernel	RX-algorithm: A nonlinear anomaly detector for hyperspectral imagery
	kernel	sample space projection classifier for pattern recognition
	kernel	scatter-difference based discriminant analysis for face recognition
	kernel	Self-Attention for Weakly-supervised Image Classification using Deep Multiple Instance Learning
	kernel	Sharing With Joint Boosting For Multi-Class Concept Detection
	kernel	Similarity Based AAMs for Face Recognition
	kernel	Similarity Modeling of Texture Pattern Flow for Motion Detection in Complex Background
	kernel	Slow Feature Analysis for Scene Change Detection
	kernel	Smoothing
	kernel	Sparse Multitask Learning for Hyperspectral Image Classification With Empirical Mode Decomposition and Morphological Wavelet-Based Features
	kernel	Sparse Representation for Image Classification and Face Recognition
	kernel	sparse representation with local patterns for face recognition
	kernel	sparse subspace clustering
	kernel	Sparse Subspace Clustering on Symmetric Positive Definite Manifolds
	kernel	Sparse Subspace Clustering with a Spatial Max Pooling Operation for Hyperspectral Remote Sensing Data Interpretation
	kernel	sparse tracking with compressive sensing
	kernel	Spectral Clustering for Dynamic Data
	kernel	Spectral Correspondence Matching Using Label Consistency Constraints
	kernel	Spectral Curvature Clustering (KSCC)
	kernel	Spectral Matched Filter for Hyperspectral Imagery
	kernel	spectral regression of perceived age from hybrid facial features
	kernel	Square-Loss Exemplar Machines for Image Retrieval
	kernel	subspace alignment for unsupervised domain adaptation
	kernel	Subspace Integral Image Based Probabilistic Visual Object Tracking
	kernel	subspace LDA with optimized kernel parameters on face recognition
	kernel	subspace LDA with optimized kernel parameters on face recognition
	kernel	subspace pursuit for sparse regression
	kernel	Supervised Ensemble Classifier for the Classification of Hyperspectral Data Using Few Labeled Samples
	kernel	support vector machine-based feature selection approach for recognizing Flying Apsaras' streamers in the Dunhuang Grotto Murals, China, A
	kernel	tapering: A simple and effective approach to sparse kernels for image processing
	kernel	tapering: A simple and effective approach to sparse kernels for image processing
	kernel	transform learning
	kernel	Transformer Networks for Compact Spherical Convolution
	kernel	trick for sequences applied to text-independent speaker verification systems, A
	kernel	two-dimensional ridge regression for subspace clustering
	kernel	Uncorrelated Adjacent-class Discriminant Analysis
	kernel	Uncorrelated and Orthogonal Discriminant Analysis: A Unified Approach
	kernel	Weighted Scatter-Difference-Based Discriminant Analysis for Face Recognition
	kernel	-Aware Burst Blind Super-Resolution
	kernel	-Bandwidth Adaptation for Tracking Object Changing in Size
	kernel	-Based 3D Tracking
	kernel	-Based Approach for Content-Based Image Retrieval, A
	kernel	-Based Approach for DBS Parameter Estimation, A
	kernel	-based Bayesian clustering of computed tomography images for lung nodule segmentation
	kernel	-Based Bayesian Filtering for Object Tracking
	kernel	-based classification using quantum mechanics
	kernel	-based convolution expansion for facial expression recognition
	kernel	-Based Density Map Generation for Dense Object Counting
	kernel	-based deterministic annealing algorithm for data clustering
	kernel	-based Discrimination Framework for Solving Hypothesis Testing Problems with Application to Speaker Verification, A
	kernel	-based distance metric learning for content-based image retrieval
	kernel	-Based Domain-Invariant Feature Selection in Hyperspectral Images for Transfer Learning
	kernel	-Based Edge-Preserving Methods for Abrupt Change Detection
	kernel	-Based Face Hallucination via Dual Regularization Priors
	kernel	-based feature aggregation framework in point cloud networks
	kernel	-based feature extraction under maximum margin criterion
	kernel	-Based Feature Relevance Analysis for ECG Beat Classification
	kernel	-Based Framework for Multitemporal and Multisource Remote Sensing Data Classification and Change Detection
	kernel	-Based Generalized Median Computation for Consensus Learning
	kernel	-based Graph Convolutional Networks
	kernel	-based hard clustering methods in the feature space with automatic variable weighting
	kernel	-based hard clustering methods with kernelization of the metric and automatic weighting of the variables
	kernel	-Based Head Tracker for Videophony
	kernel	-based high-dimensional histogram estimation for visual tracking
	kernel	-Based Image Filtering: Fast Algorithms and Applications
	kernel	-Based Image Representation for Brain MRI Discrimination
	kernel	-Based Implicit Regularization of Structured Objects
	kernel	-Based Laplacian Smoothing Method for 3D Mesh Denoising
	kernel	-Based Learning From Both Qualitative and Quantitative Labels: Application to Prostate Cancer Diagnosis Based on Multiparametric MR Imaging
	kernel	-based learning of cast shadows from a physical model of light sources and surfaces for low-level segmentation
	kernel	-based LIME with feature dependency sampling
	kernel	-Based Low-Rank (KLR) Model for Low-Dimensional Manifold Recovery in Highly Accelerated Dynamic MRI, A
	kernel	-based method for fast and accurate computation of PHT in polar coordinates, A
	kernel	-based method for tracking objects with rotation and translation
	kernel	-Based Methods for Hyperspectral Image Classification
	kernel	-Based Mixture Mapping for Image and Text Association
	kernel	-Based MMSE Multimedia Signal Reconstruction and Its Application to Spatial Error Concealment
	kernel	-Based Motion-Blurred Target Tracking
	kernel	-Based Multifactor Analysis for Image Synthesis and Recognition
	kernel	-Based Nonlinear Beamforming Construction Using Orthogonal Forward Selection With the Fisher Ratio Class Separability Measure
	kernel	-Based Nonlinear Spectral Unmixing with Dictionary Pruning
	kernel	-based object tracking
	kernel	-based object tracking using asymmetric kernels with adaptive scale and orientation selection
	kernel	-based object tracking using asymmetric kernels with adaptive scale and orientation selection
	kernel	-Based On-Line Object Tracking Combining both Local Description and Global Representation
	kernel	-based optimized feature vectors selection and discriminant analysis for face recognition
	kernel	-Based Optimum-Path Forest Classifier, A
	kernel	-based parametric method for conditional density estimation, A
	kernel	-based Recognition of Human Actions Using Spatiotemporal Salient Points
	kernel	-based regularized-angle spectral matching for target detection in hyperspectral imagery
	kernel	-based representation for 2D/3D motion trajectory retrieval and classification
	kernel	-Based Representation to Support 3D MRI Unsupervised Clustering, A
	kernel	-Based Robust Tracking for Objects Undergoing Occlusion
	kernel	-Based Semantic Hashing for Gait Retrieval
	kernel	-based Signal Localization Method for NIRS Brain-computer Interfaces, A
	kernel	-based sliding mode control for visual servoing system
	kernel	-based soft BER estimator for coded QAM transmission systems, A
	kernel	-based sparse representation for gesture recognition
	kernel	-based spectral color image segmentation
	kernel	-Based Spectral Matched Signal Detectors for Hyperspectral Target Detection
	kernel	-based statistical analysis of the residual error in video coding, A
	kernel	-Based Structural Binary Pattern Tracking
	kernel	-based subtractive clustering method, A
	kernel	-Based Supervised Discrete Hashing for Image Retrieval
	kernel	-based Template Alignment
	kernel	-based Tracking from a Probabilistic Viewpoint
	kernel	-based transition probability toward similarity measure for semi-supervised learning
	kernel	-Based Unsupervised Change Detection of Agricultural Lands Using Multi-Temporal Polarimetric SAR Data
	kernel	-based unsupervised trajectory clusters discovery
	kernel	-Bayesian Framework for Object Tracking
	kernel	-Coefficient-Based Feature Method for Face Detection
	kernel	-composition For Change Detection In Medium Resolution Remote Sensing Data
	kernel	-Driven BRDF Approach to Correct Airborne Hyperspectral Imagery over Forested Areas with Rugged Topography, A
	kernel	-free video deblurring via synthesis
	kernel	-mapped histograms of multi-scale LBPs for tree bark recognition
	kernel	-PCA Analysis of Surface Normals for Shape-from-Shading
	kernel	-Predictability: A New Information Measure and Its Application to Image Registration
	kernel	-Weighted Graph Convolutional Network: A Deep Learning Approach for Traffic Forecasting
	kernel	HMM: Learning Kernel Combinations in Structured Output Domains, The
	kernel	Net: A Blind Super-Resolution Kernel Estimation Network
	kernel	s for acyclic digraphs
	kernel	s for Generalized Multiple-Instance Learning
	kernel	s for Visual Words Histograms
	kernel	s on bags for multi-object database retrieval
	kernel	s on Bags of Fuzzy Regions for Fast Object retrieval
	kernel	s, regularization and differential equations
KerNL:	kernel	-Based Nonlinear Approach to Parallel MRI Reconstruction
Keynote lecture 2: Riemannian manifolds,	kernel	s and learning
KGSR: A	kernel	guided network for real-world blind super-resolution
KMOD: a new support vector machine	kernel	with moderate decreasing for pattern recognition. Application to digit image recognition
KMOD: A two-parameter SVM	kernel	for pattern recognition
Knowledge-Induced Multiple	kernel	Fuzzy Clustering
KOALAnet: Blind Super-Resolution using	kernel	-Oriented Adaptive Local Adjustment
KPCA Plus LDA: A Complete	kernel	Fisher Discriminant Framework for Feature Extraction and Recognition
KSM: Fast Multiple Task Adaption via	kernel	-wise Soft Mask Learning
Kullback-Leibler	kernel	as a Framework for Discriminant and Localized Representations for Visual Recognition, The
L(2)	kernel	Classification
L1-norm-based	kernel	entropy components
Labeled Graph	kernel	for Behavior Analysis
Land surface albedo retrieval via	kernel	-based BRDF modeling: I. Statistical inversion method and model comparison
Land surface albedo retrieval via	kernel	-based BRDF modeling: II. An optimal design scheme for the angular sampling
Laplacian spectral distances and	kernel	s on 3D shapes
Laplacian Support Vector Machines with Multi-	kernel	Learning
Large	kernel	Distillation Network for Efficient Single Image Super-Resolution
Large	kernel	Matters: Improve Semantic Segmentation by Global Convolutional Network
Large	kernel	Refine Fusion Net for Neuron Membrane Segmentation
large scale clustering scheme for	kernel	k-means, A
Large Selective	kernel	Network for Remote Sensing Object Detection
Large-margin multiple	kernel	Lp-SVDD using Frank-Wolfe algorithm for novelty detection
Large-Scale Gaussian Process Classification with Flexible Adaptive Histogram	kernel	s
Large-Scale Gaussian Process Inference with Generalized Histogram Intersection	kernel	s for Visual Recognition Tasks
Large-Scale Image Annotation by Efficient and Robust	kernel	Metric Learning
Large-scale near-duplicate image retrieval by	kernel	density estimation
Large-scale nonlinear facial image classification based on approximate	kernel	Extreme Learning Machine
Large	kernel	3D: Scaling up Kernels in 3D Sparse CNNs
Late Fusion Multiple	kernel	Clustering With Local Kernel Alignment Maximization
Late Fusion Multiple	kernel	Clustering With Local Kernel Alignment Maximization
Layer-Wise Relevance Propagation Based Sample Condensation for	kernel	Machines
LBKENET: lightweight Blur	kernel	Estimation Network for Blind Image Super-resolution
LDFUNet: Large-	kernel	Convolution and Dynamic Fusion Network for Superpixel Segmentation
Learning a Family of Detectors via Multiplicative	kernel	s
Learning a Multi-Size Patch-Based Hybrid	kernel	Machine Ensemble for Abnormal Region Detection in Colonoscopic Images
Learning a Similarity Constrained Discriminative	kernel	Dictionary from Concatenated Low-Rank Features for Action Recognition
Learning Actions Using Robust String	kernel	s
Learning adaptive interpolation	kernel	s for fast single-image super resolution
Learning Additive	kernel	For Feature Transformation and Its Application to CNN Features
Learning deep	kernel	s in the space of monotone conjunctive polynomials
Learning Deep Match	kernel	s for Image-Set Classification
Learning discriminant grassmann	kernel	s for image-set classification
Learning Dynamic Style	kernel	s for Artistic Style Transfer
Learning Edge-Specific	kernel	Functions For Pairwise Graph Matching
Learning from Diffusion-Weighted Magnetic Resonance Images Using Graph	kernel	s
Learning from multiple annotators using	kernel	alignment
Learning general Gaussian	kernel	hyperparameters of SVMs using optimization on symmetric positive-definite matrices manifold
Learning Geometry-Aware	kernel	s in a Regularization Framework
Learning Global-aware	kernel	for Image Harmonization
Learning hierarchical 3D	kernel	descriptors for RGB-D action recognition
Learning Image Similarity from Flickr Groups Using Fast	kernel	Machines
Learning image similarity from Flickr groups using Stochastic Intersection	kernel	Machines
Learning Instance and Task-Aware Dynamic	kernel	s for Few-Shot Learning
Learning	kernel	Expansions for Image Classification
Learning	kernel	for Conditional Moment-Matching Discrepancy-Based Image Classification
Learning	kernel	in Kernel-Based LDA for Face Recognition Under Illumination Variations
Learning	kernel	in Kernel-Based LDA for Face Recognition Under Illumination Variations
Learning	kernel	logistic regression in the presence of class label noise
Learning	kernel	parameters for kernel Fisher discriminant analysis
Learning	kernel	parameters for kernel Fisher discriminant analysis
Learning	kernel	Subspace Classifier
Learning	kernel	s for Unsupervised Domain Adaptation with Applications to Visual Object Recognition
Learning	kernel	s for variants of normalized cuts: Convex relaxations and applications
Learning	kernel	s from labels with ideal regularization
Learning Match	kernel	s on Grassmann Manifolds for Action Recognition
Learning Methodologies to Generate	kernel	-Learning-Based Image Downscaler for Arbitrary Scaling Factors
Learning multi-	kernel	distance functions using relative comparisons
Learning non-parametric	kernel	via matrix decomposition for logistic regression
Learning Object-to-Class	kernel	s for Scene Classification
Learning Optical Flow with	kernel	Patch Attention
Learning Output-	kernel	-dependent Regression for Human Pose Estimation
Learning over sets using	kernel	principal angles
Learning pairwise image similarities for multi-classification using	kernel	Regression Trees
Learning parameterized histogram	kernel	s on the simplex manifold for image and action classification
Learning patch-dependent	kernel	forest for person re-identification
Learning Pedestrian Trajectories with	kernel	s
Learning Relevant Image Features with Multiple-	kernel	Classification
Learning Sparse	kernel	Classifiers in the Primal
Learning Speed Invariant Gait Template via Thin Plate Spline	kernel	Manifold Fitting
Learning state machine-based string edit	kernel	s
Learning Steering	kernel	s for Guided Depth Completion
Learning Subspace Classification Using Subset Approximated	kernel	Principal Component Analysis
Learning the Inverse Dynamics of Robotic Manipulators in Structured Reproducing	kernel	Hilbert Space
Learning the	kernel	Combination for Object Categorization
Learning the	kernel	matrix by maximizing a KFD-based class separability criterion
Learning the	kernel	parameters in kernel minimum distance classifier
Learning the	kernel	parameters in kernel minimum distance classifier
Learning the	kernel	Through Examples: An Application to Shape Classification
Learning the Relationship Between High and Low Resolution Images in	kernel	Space for Face Super Resolution
Learning With Asymmetric	kernel	s: Least Squares and Feature Interpretation
Learning with Box	kernel	s
Learning with Distance Substitution	kernel	s
Learning with the Optimized Data-Dependent	kernel
Learning-based super resolution using	kernel	partial least squares
least square	kernel	machine with box constraints, A
Leave-One-Out	kernel	Optimization for Shadow Detection
Leave-One-Out	kernel	Optimization for Shadow Detection and Removal
Length-weighted string	kernel	s for sequence data classification
Let the	kernel	figure it out; Principled learning of pre-processing for kernel classifiers
Let the	kernel	figure it out; Principled learning of pre-processing for kernel classifiers
Leveraging CycleGAN in Lung CT Sinogram-free	kernel	Conversion
Leveraging tensor	kernel	s to reduce objective function mismatch in deep clustering
LiDAR video object segmentation with dynamic	kernel	refinement
Lie group	kernel	learning method for medical image classification, A
Linear discriminant analysis with generalized	kernel	constraint for robust image classification
Linear discriminant multiple	kernel	learning for multispectral image classification
Linear feature extraction by integrating pairwise and global discriminatory information via sequential forward floating selection and	kernel	QR factorization with column pivoting
Linear Incremental Nystrom Method for Online	kernel	Learning, A
Linear Spectral Mixture Analysis via Multiple-	kernel	Learning for Hyperspectral Image Classification
Linearized	kernel	dictionary learning with group sparse priors for action recognition
Link functions and Matern	kernel	in the estimation of reflectance spectra from RGB responses
LinK: Linear	kernel	for LiDAR-based 3D Perception
Linking convolutional	kernel	size to generalization bias in face analysis CNNs
Lip Contour Segmentation Using	kernel	Methods and Level Sets
LiteCCLKNet: A lightweight criss-cross large	kernel	convolutional neural network for hyperspectral image classification
LKDA-GAN: Cross-modality image synthesis via Generative Adversarial Network aggregating large	kernel	decomposable attention bottleneck block
LKLM: A Large-	kernel	Lightweight CNN Model for Monocular Depth Estimation
Local Ensemble	kernel	Learning for Object Category Recognition
Local Entropies for	kernel	Selection and Outlier Detection in Functional Data
Local Features and	kernel	s for Classification of Texture and Object Categories: A Comprehensive Study
Local Features and	kernel	s for Classification of Texture and Object Categories: An In-Depth Study
Local Image Descriptors Using Supervised	kernel	ICA
Local isomorphism to solve the pre-image problem in	kernel	methods
Local	kernel	s based graph learning for multiple kernel clustering
Local	kernel	s based graph learning for multiple kernel clustering
Local	kernel	s That Approximate Bayesian Regularization and Proximal Operators
Local Linear Approximation for	kernel	Methods: The Railway Kernel
Local Linear Approximation for	kernel	Methods: The Railway Kernel
Local Matrix Feature-Based	kernel	Joint Sparse Representation for Hyperspectral Image Classification
Local Maximal Homogeneous Region Search for SAR Speckle Reduction With Sketch-Based Geometrical	kernel	Function
Local normalized linear summation	kernel	for fast and robust recognition
Local Outlier Detection Based on	kernel	Regression
Local Spatial Co-occurrence for Background Subtraction via Adaptive Binned	kernel	Estimation
Local-global nested graph	kernel	s using nested complexity traces
Locality-sensitive	kernel	sparse representation classification for face recognition
Localized algorithms for multiple	kernel	learning
Localized Image Blur Removal through Non-parametric	kernel	Estimation
Localized multi-	kernel	discriminative canonical correlation analysis for video-based person re-identification
Localized Multiple	kernel	Learning for Realistic Human Action Recognition in Videos
Localized multiple	kernel	learning using graph modularity
Localized Multiple	kernel	Regression
Localized Simple Multiple	kernel	K-means
Log-Euclidean	kernel	s for Sparse Representation and Dictionary Learning
Lossy image coding in the pixel domain using a sparse steering	kernel	synthesis approach
Low Rank Component Induced Spatial-Spectral	kernel	Method for Hyperspectral Image Classification
Low-Dose CT Denoising Using A Structure-Preserving	kernel	Prediction Network
Low-rank	kernel	regression with preserved locality for multi-class analysis
lower bound for generalized median based consensus learning using	kernel	-induced distance functions, A
LP norm multiple	kernel	Fisher discriminant analysis for object and image categorisation
LSKANet: Long Strip	kernel	Attention Network for Robotic Surgical Scene Segmentation
L_p Norm Localized Multiple	kernel	Learning via Semi-Definite Programming
M-estimator based robust	kernel	s for support vector machines
Majorization-Minimization Approach to Lq Norm Multiple	kernel	Learning, A
Making depthwise convolution SR-friendly via	kernel	attention injection
Malware Detection Using	kernel	Constrained Subspace Method
Mammogram Mass Classification with Temporal Features and Multiple	kernel	Learning
Managing Particle Spread via Hybrid Particle Filter/	kernel	Mean Shift Tracking
Manifold	kernel	Metric Learning for Larger-Scale Image Annotation
Manifold	kernel	Sparse Representation of Symmetric Positive-Definite Matrices and Its Applications
Manifold Learning and the Quantum Jensen-Shannon Divergence	kernel
Margin-constrained multiple	kernel	learning based multi-modal fusion for affect recognition
Matching Pursuit Based on	kernel	Non-Second Order Minimization
Material Classification for Printed Circuit Boards by	kernel	Fisher Discriminant Analysis
Mathematical analysis for CSI scheme with the interpolation	kernel	size increased
Mathematical morphology on hypergraphs, application to similarity and positive	kernel
Max-Matching Context	kernel	Design for SIFT Feature
Maximizing all margins: Pushing face recognition with	kernel	Plurality
Mc	kernel	: A Library for Approximate Kernel Expansions in Log-linear Time
MDC-Net: Multi-domain constrained	kernel	estimation network for blind image super resolution
MDCT: Multi-	kernel	Dilated Convolution and Transformer for One-Stage Object Detection of Remote Sensing Images
Mean Map	kernel	Methods for Semisupervised Cloud Classification
Mean Polynomial	kernel	and Its Application to Vector Sequence Recognition
Mean shift blob tracking with	kernel	histogram filtering and hypothesis testing
Mean-Shift Blob Tracking with	kernel	-Color Distribution Estimate and Adaptive Model Update Criterion
Mean-Shift Tracking of Variable	kernel	Based on Projective Geometry
Medical image denoising using	kernel	Ridge Regression
MEHW-SVM multi-	kernel	approach for improved brain tumour classification
Melanoma Recognition Using Representative and Discriminative	kernel	Classifiers
Memetic Evolution of Training Sets with Adaptive Radial Basis	kernel	s for Support Vector Machines
Mercer	kernel	s for Object Recognition with Local Features
Meta-Learned	kernel	For Blind Super-Resolution Kernel Estimation
Meta-Learned	kernel	For Blind Super-Resolution Kernel Estimation
method for determining the number of features in the	kernel	space required for preserving classifiability, A
Metric learning-based	kernel	transformer with triplets and label constraints for feature fusion
MIL based visual object tracking with	kernel	and scale adaptation
Mining Point Cloud Local Structures by	kernel	Correlation and Graph Pooling
Missing Intensity Interpolation Using a	kernel	PCA-Based POCS Algorithm and its Applications
Mixed Entropy Local-Global Reproducing	kernel	for Attributed Graphs, A
Mixed	kernel	Function SVM for Pulmonary Nodule Recognition
Mixed Noise Estimation Model for Optimized	kernel	Minimum Noise Fraction Transformation in Hyperspectral Image Dimensionality Reduction
Mixed Weisfeiler-Lehman Graph	kernel	, A
MixTConv: Mixed Temporal Convolutional	kernel	s for Efficient Action Recognition
Mixture-	kernel	Graph Attention Network for Situation Recognition
MKPLS: Manifold	kernel	Partial Least Squares for Lipreading and Speaker Identification
MKPM: A multiclass extension to the	kernel	projection machine
MLP	kernel	-Based to Predict the Optimal Conditions of Transglutaminase on Protein Polymerization
Mobility using first and second derivatives for	kernel	-based regression in wireless sensor networks
MoCap Data Segmentation and Classification Using	kernel	Based Multi-channel Analysis
model for dynamic object segmentation with	kernel	density estimation based on gradient features, A
Model Selection in	kernel	Methods Based on a Spectral Analysis of Label Information
Model Selection Using a Class of	kernel	s with an Invariant Metric
Model-Based Vehicle Localization Based on 3-D Constrained Multiple-	kernel	Tracking
Modeling label dependencies in	kernel	learning for image annotation
Modeling of Time Geographical	kernel	Density Function under Network Constraints
Modelling Shapes with Uncertainties: Higher Order Polynomials, Variable Bandwidth	kernel	s and Non Parametric Density Estimation
Modification of	kernel	-Based Fisher Discriminant Analysis for Face Detection, A
Modification of Polar Echo	kernel	for Performance Improvement of Audio Watermarking
Modified	kernel	MLAA using autoencoder for PET-enabled dual-energy CT
Modified	kernel	s-Alternated Error Diffusion Watermarking Algorithm for Halftone Images, A
modified short-	kernel	filter pair for perfect reconstruction of HDTV signals, A
MoESR: Blind Super-Resolution using	kernel	-Aware Mixture of Experts
Monocular Road Scene Bird's Eye View Prediction via Big	kernel	-Size Encoder and Spatial-Channel Transform Module
More About Covariance Descriptors for Image Set Coding: Log-Euclidean Framework Based	kernel	Matrix Representation
Motif Entropy Graph	kernel
Motion blur	kernel	estimation using noisy inertial data
Motion Blur	kernel	Estimation via Deep Learning
Motion Recognition Employing Multiple	kernel	Learning of Fisher Vectors Using Local Skeleton Features
Motion-Augmented Inference and Joint	kernel	s in Structured Learning for Object Tracking
Motion-based background subtraction using adaptive	kernel	density estimation
Motion-blur	kernel	size estimation via learning a convolutional neural network
MP-Polynomial	kernel	for Training Support Vector Machines
MREKLM: A fast multiple empirical	kernel	learning machine
MRF-based	kernel	method for nonlinear feature extraction, An
MRI brain image segmentation and bias field correction based on fast spatially constrained	kernel	clustering approach
Multi-channel Shape-Flow	kernel	Descriptors for Robust Video Event Detection and Retrieval
Multi-class	kernel	Alignment Method for Image Collection Summarization, A
Multi-cue collaborative	kernel	tracking with cross ratio invariant constraint
Multi-encoder Network for Parameter Reduction of a	kernel	-based Interpolation Architecture
Multi-Feature	kernel	Discriminant Dictionary Learning for Classification in Alzheimer's Disease
Multi-Feature	kernel	Discriminant Dictionary Learning for Face Recognition
multi-feature selection approach for gender identification of handwriting based on	kernel	mutual information, A
Multi-GPU-Parallel and Tile-Based	kernel	Density Estimation for Large-Scale Spatial Point Pattoern Analysis
Multi-	kernel	Appearance Model
multi-	kernel	based framework for heterogeneous feature selection and over-sampling for computer-aided detection of pulmonary nodules, A
Multi-	kernel	Classification for Integration of Clinical and Imaging Data: Application to Prediction of Cognitive Decline in Older Adults
Multi-	kernel	collaborative representation for image classification
Multi-	kernel	Correlation Filter for Visual Tracking
Multi-	kernel	Coupled Projections for Domain Adaptive Dictionary Learning
Multi-	kernel	Diffusion CNNs for Graph-Based Learning on Point Clouds
Multi-	kernel	Fuzzy-Based Local Gabor Patterns for Gait Recognition
Multi-	kernel	Implicit Curve Evolution for Selected Texture Region Segmentation in VHR Satellite Images
Multi-	kernel	Local Level Set Image Segmentation Algorithm for Fluorescence Microscopy Images, A
Multi-	kernel	metric learning for person re-identification
Multi-	kernel	Online Reinforcement Learning for Path Tracking Control of Intelligent Vehicles
Multi-	kernel	Prediction Networks for Denoising of Burst Images
Multi-	kernel	sparse subspace clustering on the Riemannian manifold of symmetric positive definite matrices
Multi-	kernel	Supervised Hashing with Graph Regularization for Cross-Modal Retrieval
Multi-	kernel	SVM based classification for brain tumor segmentation of MRI multi-sequence
Multi-labeler Classification Using	kernel	Representations and Mixture of Classifiers
multi-modal feature fusion framework for kinect-based facial expression recognition using Dual	kernel	Discriminant Analysis (DKDA), A
Multi-modal image registration using fuzzy	kernel	regression
Multi-modal multiple	kernel	learning for accurate identification of Tourette syndrome children
Multi-modality movie scene detection using	kernel	Canonical Correlation Analysis
Multi-objective learning of Relevance Vector Machine classifiers with multi-resolution	kernel	s
Multi-resolution template	kernel	s
Multi-scale B-spline level set segmentation based on Gaussian	kernel	equalization
Multi-scale	kernel	Operators for Reflection and Rotation Symmetry: Further Achievements
Multi-scale Location-Aware	kernel	Representation for Object Detection
Multi-scale Non-Local	kernel	Regression for super resolution
Multi-scale structural	kernel	representation for object detection
Multi-structure model selection via	kernel	optimisation
Multi-task and multi-	kernel	Gaussian process dynamical systems
Multi-task Learning via Non-sparse Multiple	kernel	Learning
Multi-task multiple	kernel	machines for personalized pain recognition from functional near-infrared spectroscopy brain signals
Multi-View Motion Synthesis via Applying Rotated Dual-Pixel Blur	kernel	s
Multi-View Nonlinear Active Shape Model Using	kernel	PCA
Multi-View Nonlinear Active Shape Model Using	kernel	PCA, A
Multi-way Multi-level	kernel	Modeling for Neuroimaging Classification
Multiframe blind deconvolution of passive millimeter wave images using variational dirichlet blur	kernel	estimation
Multiframe image restoration in the presence of noisy blur	kernel
MultiK-MHKS: A Novel Multiple	kernel	Learning Algorithm
Multimodal Biometrics of Lip Movements and Voice using	kernel	Fisher Discriminant Analysis
Multimodal Data and Multiscale	kernel	-Based Multistream CNN for Fine Classification of a Complex Surface-Mined Area
Multimodal Multi-Head Convolutional Attention with Various	kernel	Sizes for Medical Image Super-Resolution
Multimodal Video Concept Detection via Bag of Auditory Words and Multiple	kernel	Learning
Multiple Anthropological Fisher	kernel	Framework and Its Application to Kinship Verification
Multiple Collaborative	kernel	Tracking
Multiple feature	kernel	hashing for large-scale visual search
Multiple Feature	kernel	Sparse Representation Classifier for Hyperspectral Imagery
Multiple	kernel	boosting based tracking using pooling features
Multiple	kernel	clustering based on centered kernel alignment
Multiple	kernel	clustering based on centered kernel alignment
Multiple	kernel	discriminant analysis
Multiple	kernel	Feature Line Embedding for Hyperspectral Image Classification
Multiple	kernel	Gaussian process classification for generic 3D object recognition
Multiple	kernel	Graph Cut for SAR Image Change Detection
Multiple	kernel	kk-Means with Incomplete Kernels
Multiple	kernel	kk-Means with Incomplete Kernels
Multiple	kernel	Learning Algorithm for Cell Nucleus Classification of Renal Cell Carcinoma, A
Multiple	kernel	Learning Approach to Joint Multi-class Object Detection, A
Multiple	kernel	Learning Approach to Multi-Modal Pedestrian Classification, A
Multiple	kernel	learning based modality classification for medical images
Multiple	kernel	Learning Based Multi-view Spectral Clustering
Multiple	kernel	Learning Based on Discriminative Kernel Clustering for Hyperspectral Band Selection
Multiple	kernel	Learning Based on Discriminative Kernel Clustering for Hyperspectral Band Selection
Multiple	kernel	Learning for Dimensionality Reduction
Multiple	kernel	Learning for Hyperspectral Image Classification: A Review
Multiple	kernel	learning for image indexing
Multiple	kernel	Learning for Remote Sensing Image Classification
Multiple	kernel	Learning for Sparse Representation-Based Classification
Multiple	kernel	Learning for Spectral Dimensionality Reduction
Multiple	kernel	Learning for Visual Object Recognition: A Review
Multiple	kernel	Learning framework for detecting altered fingerprints, A
Multiple	kernel	Learning Framework to Investigate the Relationship Between Ventricular Fibrillation and First Myocardial Infarction, A
Multiple	kernel	learning from sets of partially matching image features
Multiple	kernel	learning SVM and statistical validation for facial landmark detection
Multiple	kernel	learning using data envelopment analysis and feature vector selection and projection
Multiple	kernel	Learning with High Order Kernels
Multiple	kernel	Learning with High Order Kernels
Multiple	kernel	learning with hybrid kernel alignment maximization
Multiple	kernel	learning with hybrid kernel alignment maximization
Multiple	kernel	learning with NOn-conVex group spArsity
Multiple	kernel	Learning, MKL
Multiple	kernel	Maximum Margin Criterion
Multiple	kernel	Point Set Registration
Multiple	kernel	Sparse Representation for Airborne LiDAR Data Classification
Multiple	kernel	Sparse Representation-Based Orthogonal Discriminative Projection and Its Cost-Sensitive Extension
Multiple	kernel	Sparse Representations for Supervised and Unsupervised Learning
Multiple	kernel	tracking with SSD
Multiple	kernel	Two-Step Tracking
Multiple	kernel	-based dictionary learning for weakly supervised classification
Multiple	kernel	-Based Multi-Instance Learning Algorithm for Image Classification
Multiple	kernel	-Based SVM Classification of Hyperspectral Images by Combining Spectral, Spatial, and Semantic Information
Multiple	kernel	s for generalised discriminant analysis
Multiple	kernel	s for object detection
Multiple label prediction for image annotation with multiple	kernel	correlation models
Multiple local	kernel	integrated feature selection for image classification
Multiple Object Tracking with	kernel	Particle Filter
Multiple Pyramids Based Image Inpainting Using Local Patch Statistics and Steering	kernel	Feature
Multiple Random Subset-	kernel	Learning
Multiple Reflection Symmetry Detection via Linear-Directional	kernel	Density Estimation
Multiple Similarities Based	kernel	Subspace Learning for Image Classification
Multiple View Feature Descriptors from Image Sequences via	kernel	Principal Component Analysis
Multiple-Feature and Multiple-	kernel	Scene Segmentation Algorithm for Humanoid Robot, A
Multiple-Feature	kernel	-Based Probabilistic Clustering for Unsupervised Band Selection
Multiple-	kernel	Fuzzy C-Means Algorithm for Image Segmentation, A
Multiple-	kernel	, Multiple-Instance Similarity Features for Efficient Visual Object Detection
Multiplicative	kernel	s: Object detection, segmentation and pose estimation
Multiregion Image Segmentation by Parametric	kernel	Graph Cuts
Multiscale Adjacent Superpixel-Based Extended Multi-Attribute Profiles Embedded Multiple	kernel	Learning Method for Hyperspectral Classification
Multiscale Edge Detection Using First-Order Derivative of Anisotropic Gaussian	kernel	s
Multiscale Frame-Based	kernel	s for Large Deformation Diffeomorphic Metric Mapping
Multiscale Local Phase Quantization for Robust Component-Based Face Recognition Using	kernel	Fusion of Multiple Descriptors
Multiscale Supervised	kernel	Dictionary Learning for SAR Target Recognition
Multiscale Weighted Adjacent Superpixel-Based Composite	kernel	for Hyperspectral Image Classification
Multispectral demosaicking using adaptive	kernel	upsampling
Multitemporal/multiband SAR classification of urban areas using spatial analysis: statistical versus neural	kernel	-based approach
Multivariate	kernel	diffusion for surface denoising
Multivariate online	kernel	density estimation with Gaussian kernels
Multivariate online	kernel	density estimation with Gaussian kernels
Multiview	kernel	s for Low-Dimensional Modeling of Seismic Events
Multiway Spectral Clustering with Out-of-Sample Extensions through Weighted	kernel	PCA
Mutual Affine Network for Spatially Variant	kernel	Estimation in Blind Image Super-Resolution
NBNN	kernel	, The
Near Constant Acceleration Gaussian Process	kernel	for Tracking, The
Near-Duplicate Video Retrieval Through Toeplitz	kernel	Partial Least Squares
Neighborhood Preserving	kernel	s for Attributed Graphs
Nested Alignment Graph	kernel	Through the Dynamic Time Warping Framework, A
Network-Dependent Image Annotation Based on Explicit Context-Dependent	kernel	Maps
Network-dependent	kernel	s for image ranking
Neumann Network with Recursive	kernel	s for Single Image Defocus Deblurring
Neural Decoding Using	kernel	-Based Functional Representation of ECoG Recordings
Neural Fields as Learnable	kernel	s for 3D Reconstruction
Neural KEM: A	kernel	Method With Deep Coefficient Prior for PET Image Reconstruction
Neural	kernel	Surface Reconstruction
Neutrosophic C-means clustering with local information and noise distance-based	kernel	metric image segmentation
New 2D Parallel Thinning Algorithms Based on Critical	kernel	s
New Approximation of a Scale Space	kernel	on SE(3) and Applications in Neuroimaging
New Convolution	kernel	for Atmospheric Point Spread Function Applied to Computer Vision, A
new density	kernel	in density peak based clustering, A
New Distance for Data Sets in a Reproducing	kernel	Hilbert Space Context, A
New Event Detection with Nearest Neighbor, Support Vector Machines, and	kernel	Regression
New Gabor Filter Based	kernel	for Texture Classification with SVM, A
new hand representation based on	kernel	s for hand posture recognition, A
New Hermite orthogonal polynomial	kernel	and combined kernels in Support Vector Machine classifier
New Hermite orthogonal polynomial	kernel	and combined kernels in Support Vector Machine classifier
new interpolation	kernel	for SAR interferometric registration, A
New	kernel	Based on Weighted Cross-Correlation Coefficient for SVMs and Its Application on Prediction of T-cell Epitopes, A
new	kernel	development algorithm for edge detection using singular value ratios, A
New	kernel	Direct Discriminant Analysis (KDDA) Algorithm for Face Recognition, A
New	kernel	s for Fast Mesh-Based Motion Estimation
New Learning Formulation for	kernel	Classifier Design, A
new moving object tracking method using particle filter and probability product	kernel	, A
new SVM-based relevance feedback image retrieval using probabilistic feature and weighted	kernel	function, A
No-reference stereoscopic image quality assessment on both complex contourlet and spatial domain via	kernel	ELM
Noise reduction and edge detection via	kernel	anisotropic diffusion
Noise robust image edge detection based upon the automatic anisotropic Gaussian	kernel	s
Noise-robust edge detector combining isotropic and anisotropic Gaussian	kernel	s
Non-Blind Deblurring for Fluorescence: A Deformable Latent Space Approach with	kernel	Parameterization
Non-blind Deblurring: Handling	kernel	Uncertainty with CNNs
Non-concept density estimation via	kernel	regression for concept ranking in weakly labelled data
Non-linear feature extraction by linear PCA using local	kernel
Non-linear generative embeddings for	kernel	s on latent variable models
Non-linear unmixing of hyperspectral images using multiple-	kernel	self-organising maps
Non-linear Wiener filter in reproducing	kernel	Hilbert space
Non-Local	kernel	Regression for Image and Video Restoration
Non-Mercer	kernel	s for SVM Object Recognition
Non-negativity constraints on the pre-image for pattern recognition with	kernel	machines
non-parametric approach for independent component analysis using	kernel	density estimation, A
Non-parametric Fisher's discriminant analysis with	kernel	s for data classification
Non-parametric	kernel	ranking approach for social image retrieval
Non-parametric Source Reconstruction via	kernel	Temporal Enhancement for EEG Data
Non-rigid object tracking by adaptive data-driven	kernel
Non-uniform motion deblurring with	kernel	grid regularization
Nonlinear Combination of Multiple	kernel	s for Support Vector Machines
Nonlinear Deep	kernel	Learning for Image Annotation
Nonlinear feature extraction based on centroids and	kernel	functions
Nonlinear	kernel	based feature maps for blur-sensitive unsharp masking of JPEG images
nonlinear	kernel	-based joint fusion/detection of anomalies using Hyperspectral and SAR imagery, A
Nonlinear Mappings for Generative	kernel	s on Latent Variable Models
Nonlinear Multiple	kernel	Learning With Multiple-Structure-Element Extended Morphological Profiles for Hyperspectral Image Classification
Nonlinear nonnegative matrix factorization based on Mercer	kernel	construction
Nonlinear Shape Statistics via	kernel	Spaces
Nonlinear Unmixing of Hyperspectral Data With Vector-Valued	kernel	Functions
Nonparametric Density Estimation with Adaptive, Anisotropic	kernel	s for Human Motion Tracking
Nonparametric	kernel	estimators for image classification
Nonparametric	kernel	sparse representation-based classifier
Nonparametric saliency detection using	kernel	density estimation
Nonrigid	kernel	-Based Framework for 2D-3D Pose Estimation and 2D Image Segmentation, A
Normalization and preimage problem in gaussian	kernel	PCA
note on	kernel	uncorrelated discriminant analysis, A
novel adaptive	kernel	correlation filter tracker with multiple feature integration, A
Novel Approach for Efficient SVM Classification with Histogram Intersection	kernel	, A
Novel Approach for Image Super Resolution Using	kernel	Methods, A
Novel Cluster	kernel	RX Algorithm for Anomaly and Change Detection Using Hyperspectral Images, A
novel CNN-based match	kernel	for image retrieval, A
Novel Detection Paradigm and Its Comparison to Statistical and	kernel	-Based Anomaly Detection Algorithms for Hyperspectral Imagery, A
novel dimensionality reduction technique based on	kernel	optimization through graph embedding, A
novel echo-hiding scheme with backward and forward	kernel	s, A
Novel Edge Detection Method for Multi-Temporal PolSAR Images Based on the SIRV Model and a SDAN-Based 3D Gaussian-like	kernel	, A
novel filtering	kernel	based on difference of derivative Gaussians with applications to dynamic texture representation, A
novel formulation of orthogonal polynomial	kernel	functions for SVM classifiers: The Gegenbauer family, A
Novel Graph	kernel	Based on the Wasserstein Distance and Spectral Signatures, A
Novel Graph-Based Fisher	kernel	Method for Semi-supervised Learning, A
Novel histograms	kernel	s with structural properties
novel	kernel	collaborative representation approach for image classification, A
Novel	kernel	Correlation Model with the Correspondence Estimation, A
Novel	kernel	Discriminant Analysis for Face Verification, A
Novel	kernel	Discriminant Feature Extraction Framework Based on Mapped Virtual Samples for Face Recognition, A
Novel	kernel	Method for Clustering, A
novel	kernel	prototype-based learning algorithm, A
novel	kernel	-based framework for facial-image hallucination, A
Novel Method for Fast	kernel	Minimum Noise Fraction Transformation in Hyperspectral Image Dimensionality Reduction, A
Novel Microfacet Cosine Linear	kernel	-Driven Bidirectional Reflectance Distribution Function Model, A
Novel Multiple	kernel	Learning Framework for Heterogeneous Feature Fusion and Variable Selection, A
Novel Null Space-Based	kernel	Discriminant Analysis for Face Recognition, A
Novel One-Parameter Regularized	kernel	Fisher Discriminant Method for Face Recognition, A
novel robust	kernel	for appearance-based learning, A
Novel Search Approach for Blur	kernel	Estimation of Defocused Image Restoration, A
Novel Time Series	kernel	for Sequences Generated by LTI Systems, A
Novel Video Object Tracking Approach Based on	kernel	Density Estimation and Markov Random Field, A
Null Space-Based	kernel	Fisher Discriminant Analysis for Face Recognition
Nystrom	kernel	Algorithm Under Generalized Maximum Correntropy Criterion
Nystrom-based approximate	kernel	subspace learning
Object Categorization Based on	kernel	Principal Component Analysis of Visual Words
Object Categorization Using	kernel	s Combining Graphs and Histograms of Gradients
Object categorization via local	kernel	s
Object Classification and Detection with Context	kernel	Descriptors
Object classification from RGB-D images using depth context	kernel	descriptors
Object detection method based on local	kernel	s and automatic kernel selection by Kullback-Leibler divergence
Object detection method based on local	kernel	s and automatic kernel selection by Kullback-Leibler divergence
Object Detection With DoG Scale-Space: A Multiple	kernel	Learning Approach
Object Localization with Global and Local Context	kernel	s
object oriented approach for an iconic	kernel	system IKS, An
Object Predetection Based on	kernel	Parametric Distribution Fitting
Object recognition with hierarchical	kernel	descriptors
Object Tracking by Asymmetric	kernel	Mean Shift with Automatic Scale and Orientation Selection
Object Tracking in Satellite Videos Based on Improved	kernel	Correlation Filter Assisted by Road Information
Object Tracking Using Genetic Evolution Based	kernel	Particle Filter
Object-Based Classification of Grasslands from High Resolution Satellite Image Time Series Using Gaussian Mean Map	kernel	s
Object-Based Visual Saliency via Laplacian Regularized	kernel	Regression
Octree Guided CNN With Spherical	kernel	s for 3D Point Clouds
Off-line hand written input based identity determination using multi	kernel	feature combination
OM-2: An online multi-class Multi-	kernel	Learning algorithm
On a	kernel	Regression Approach to Machine Translation
On a	kernel	s, Levy Processes, and Natural Image Statistics
On a Link Between	kernel	Mean Maps and Fraunhofer Diffraction, with an Application to Super-Resolution Beyond the Diffraction Limit
On a Lip Print Recognition by the Pattern	kernel	s with Multi-resolution Architecture
On Authorship Attribution via Markov Chains and Sequence	kernel	s
On connections between Renyi entropy Principal Component Analysis,	kernel	learning and graph embedding
On Fast Bilateral Filtering Using Fourier	kernel	s
On Feature Combination and Multiple	kernel	Learning for Object Tracking
On	kernel	and radial basis function techniques for classification and function recovering
On	kernel	Selection in Relevance Vector Machines Using Stability Principle
On L1 convergence rate of RBF networks and	kernel	regression estimators with applications in classification
On One-Shot Similarity	kernel	s: Explicit Feature Maps and Properties
On Optimizing	kernel	-Based Fisher Discriminant Analysis Using Prototype Reduction Schemes
On Parallel Thinning Algorithms: Minimal Non-simple Sets, P-simple Points and Critical	kernel	s
On splitting dataset: Boosting Locally Adaptive Regression	kernel	s for car localization
On the Behavior of	kernel	Mutual Subspace Method
On the equivalence of	kernel	Fisher discriminant analysis and Kernel Quadratic Programming Feature Selection
On the equivalence of	kernel	Fisher discriminant analysis and Kernel Quadratic Programming Feature Selection
On the	kernel	Extreme Learning Machine classifier
On the	kernel	Extreme Learning Machine speedup
On the Realization of Impulse Invariant Low-Rank Volterra	kernel	s
On the Robustness of	kernel	-based Clustering
On unsupervised simultaneous	kernel	learning and data clustering
On Using Prototype Reduction Schemes and Classifier Fusion Strategies to Optimize	kernel	-Based Nonlinear Subspace Methods
On using prototype reduction schemes to optimize	kernel	-based nonlinear subspace methods
On Utilizing Search Methods to Select Subspace Dimensions for	kernel	-Based Nonlinear Subspace Classifiers
On-line handwriting recognition with support vector machines: A	kernel	approach
One-Class Classification Using lp-Norm Multiple	kernel	Fisher Null Approach
One-Shot Distributed Algorithm for PCA With RBF	kernel	s
One-Shot similarity	kernel	, The
Online Adaptive	kernel	Learning with Random Features for Large-scale Nonlinear Classification
Online change-point detection with	kernel	s
Online Discriminative	kernel	Density Estimation
Online gesture recognition from pose	kernel	learning and decision forests
Online	kernel	Adaptive Algorithms With Dictionary Adaptation for MIMO Models
Online	kernel	classification with adjustable bandwidth using control-based learning approach
Online	kernel	density estimation for interactive learning
Online	kernel	Learning for Interactive Retrieval in Dynamic Image Databases
Online	kernel	Matrix Factorization
Online	kernel	Principal Component Analysis: A Reduced-Order Model
Online	kernel	Selection Wrapper via Multi-Armed Bandit Model, An
Online	kernel	Slow Feature Analysis for Temporal Video Segmentation and Tracking
Online	kernel	-Based Structured Output SVM for Early Expression Detection
Online Multiple	kernel	Parallelizable Learning Scheme, An
Online Multiple	kernel	Similarity Learning for Visual Search
Online Signature Verification with New Time Series	kernel	s for Support Vector Machines
Online Signature Verification With Support Vector Machines Based on LCSS	kernel	Functions
Online structural learning with dense samples and a weighting	kernel
Online-batch strongly convex Multi	kernel	Learning
Optical Flow Diffusion with Robustified	kernel	s
Optical flow estimation with adaptive convolution	kernel	prior on discrete framework
Optimal feature selection for nonlinear data using branch-and-bound in	kernel	space
Optimal gabor	kernel	location selection for face recognition
Optimal Gaussian	kernel	Parameter Selection for SVM Classifier
Optimal Generating	kernel	s for Image Pyramids by Piecewise Fitting
Optimal	kernel	in a Class of Kernels with an Invariant Metric
Optimal	kernel	in a Class of Kernels with an Invariant Metric
Optimal L(1) Approximation of the Gaussian	kernel	with Application to Scale-Space Construction
Optimal parameter choice for a class of cubic interpolation	kernel	s and the associated error analysis
Optimal small	kernel	s for edge detection
Optimal transport based pyramid graph	kernel	for autism spectrum disorder diagnosis
Optimal Transport in Reproducing	kernel	Hilbert Spaces: Theory and Applications
Optimal weighted bilateral filter with dual-range	kernel	for Gaussian noise removal
Optimally Regularised	kernel	Fisher Discriminant Analysis
Optimally Rotation-Equivariant Directional Derivative	kernel	s
Optimization of time-frequency curve description via	kernel	smoothing
Optimization-Based Extreme Learning Machine with Multi-	kernel	Learning Approach for Classification
Optimized Data Fusion for	kernel	k-Means Clustering
Optimized	kernel	Minimum Noise Fraction Transformation for Hyperspectral Image Classification
Optimized space frequency	kernel	for texture classification
Optimizing	kernel	Functions Using Transfer Learning from Unlabeled Data
Optimizing Multiple	kernel	Learning for the Classification of UAV Data
Optimizing over Radial	kernel	s on Compact Manifolds
Optimizing the data-dependent	kernel	under a unified kernel optimization framework
Optimizing the data-dependent	kernel	under a unified kernel optimization framework
Optimizing the Gaussian	kernel	function with the formulated kernel target alignment criterion for two-class pattern classification
Optimizing the Gaussian	kernel	function with the formulated kernel target alignment criterion for two-class pattern classification
Optimum	kernel	function design from scale space features for object detection
Oracle Inequalities and Minimax Rates for Nonlocal Means and Related Adaptive	kernel	-Based Methods
Orientation and Scale Invariant	kernel	-Based Object Tracking with Probabilistic Emphasizing
Orientation and scale invariant mean shift using object mask-based	kernel
Orthogonal	kernel	Machine for the prediction of functional sites in proteins
Other,	kernel	Methods, Invariants
Overlapping Domain Cover for Scalable and Accurate Regression	kernel	Machines
PAConv: Position Adaptive Convolution with Dynamic	kernel	Assembling on Point Clouds
Pairwise	kernel	s for Human Interaction Recognition
Palmprint and Finger Knuckle Based Person Authentication with Random Forest via	kernel	-2DPCA
Parameter selection of Gaussian	kernel	for cost-sensitive support vector machines in imbalanced data classification
Parameter Selection of Gaussian	kernel	for One-Class SVM
Parameterized	kernel	Principal Component Analysis: Theory and applications to supervised and unsupervised image alignment
ParCNetV2: Oversized	kernel	with Enhanced Attention*
Parsimonious	kernel	Fisher Discrimination
Parsimonious Mahalanobis	kernel	for the classification of high dimensional data
Partial Deconvolution With Inaccurate Blur	kernel
Partial Least Squares	kernel	for computing similarities between video sequences
Partially occluded pedestrian classification using histogram of oriented gradients and local weighted linear	kernel	support vector machine
Patch sparsity based image inpainting using local patch statistics and steering	kernel	descriptor
Patch-based blind deconvolution with parametric interpolation of convolution	kernel	s
Pattern recognition with a Bayesian	kernel	combination machine
People Re-identification by Graph	kernel	s Methods
Per-Cluster Ensemble	kernel	Learning for Multi-Modal Image Clustering With Group-Dependent Feature Selection
Per-Sample	kernel	Adaptation for Visual Recognition and Grouping
Per-Sample Multiple	kernel	Approach for Visual Concept Learning
Perception-Based Interpretation of the	kernel	-Based Object Tracking, A
Perceptual visual quality assessment using deeply-learned gaze shifting	kernel
Performance analysis of hierarchical transform coding with a large	kernel	for video codecs
Person re-identification by	kernel	null space marginal Fisher analysis
Person Re-Identification Using	kernel	-Based Metric Learning Methods
Person Reidentification by	kernel	PCA Based Appearance Learning
PET Image Reconstruction Using	kernel	Method
PET Image Reconstruction With	kernel	and Kernel Space Composite Regularizer
PET Image Reconstruction With	kernel	and Kernel Space Composite Regularizer
Phase-Only Image Based	kernel	Estimation for Single Image Blind Deblurring
Photometric Heat	kernel	Signatures
Photon mapping with visible	kernel	domains
Piecewise affine	kernel	tracking for non-planar targets
Piecewise Polynomial Approximation Method for Convolution With Large	kernel
Piecewise Polynomial	kernel	s for Image Interpolation: A Generalization of Cubic Convolution
Pixelwise Local Binary Pattern Models of Faces Using	kernel	Density Estimation
PKCS: A Polynomial	kernel	Family With Compact Support for Scale- Space Image Processing
Plug-and-Play ISTA Converges With	kernel	Denoisers
Poincare	kernel	s for Hyperbolic Representations
Poisson	kernel	: Avoiding self-smoothing in graph convolutional networks
PolSAR Image Classification Using a Superpixel-Based Composite	kernel	and Elastic Net
Pooled NBNN	kernel	: Beyond Image-to-Class and Image-to-Image, The
Pose based activity recognition using Multiple	kernel	learning
Pose independent object classification from small number of training samples based on	kernel	principal component analysis of local parts
Pose pooling	kernel	s for sub-category recognition
Powerful Parallel and Symmetric 3D Thinning Schemes Based on Critical	kernel	s
PQ	kernel	: A rank correlation kernel for visual word histograms
PQ	kernel	: A rank correlation kernel for visual word histograms
Practical Approach to Model Selection for Support Vector Machines With a Gaussian	kernel	, A
practical evaluation of the performance of the Impulse CoDeveloper HLS tool for implementing large-	kernel	2-D filters, A
practical use of regularization for supervised learning with	kernel	methods, A
Precision-Energy-Throughput Scaling of Generic Matrix Multiplication and Convolution	kernel	s via Linear Projections
Predict water quality based on multiple	kernel	least squares support vector regression and genetic algorithm
Preliminary Survey of Analyzing Dynamic Time-Varying Financial Networks Using Graph	kernel	s, A
Principal Surfaces from Unsupervised	kernel	Regression
Probabilistic Fusion Tracking Using Mixture	kernel	-Based Bayesian Filtering
Probabilistic Graph Attention Network With Conditional	kernel	s for Pixel-Wise Prediction
Probabilistic guided polycystic ovary syndrome recognition using learned quality	kernel
Probabilistic	kernel	s for Improved Text-to-Speech Alignment in Long Audio Tracks
Probabilistic	kernel	s for the Classification of Auto-Regressive Visual Processes
Probabilistic-	kernel	Collaborative Representation for Spatial-Spectral Hyperspectral Image Classification
procedure of adaptive	kernel	combination with kernel-target alignment for object classification, A
procedure of adaptive	kernel	combination with kernel-target alignment for object classification, A
Product Manifold Filter: Non-rigid Shape Correspondence via	kernel	Density Estimation in the Product Space
Projection defocus correction using adaptive	kernel	sampling and geometric correction in dual-planar environments
Projective Multiple	kernel	Subspace Clustering
Promising Nonlinear Dimensionality Reduction Method:	kernel	-Based Within Class Collaborative Preserving Discriminant Projection, A
Properties of approximated empirical mode decomposition and optimal design of its system	kernel	matrix for signal decomposition
Properties of Standard and Sketched	kernel	Fisher Discriminant
Prototypical	kernel	Learning and Open-set Foreground Perception for Generalized Few-shot Semantic Segmentation
Proximity Distribution	kernel	s for Geometric Context in Category Recognition
Pseudo-Marginal Bayesian Multiple-Class Multiple-	kernel	Learning for Neuroimaging Data
Pure endmember extraction using robust	kernel	archetypoid analysis for hyperspectral imagery
Purity-Preserving	kernel	Tensor Low-Rank Learning for Robust Subspace Clustering
Pyramid Match	kernel	: Discriminative Classification with Sets of Image Features, The
Pyramid Nearest Neighbor Search	kernel	for object categorization, A
Pyramidal implementation of deformable	kernel	s
Quantitative Evaluation of Edge Detectors Using the Minimum	kernel	Variance Criterion
Quantitative Evaluation on Heat	kernel	Permutation Invariants
quantum Jensen-Shannon graph	kernel	for unattributed graphs, A
Quantum Jensen-Shannon Graph	kernel	Using Discrete-Time Quantum Walks, A
Quantum	kernel	s for unattributed graphs using discrete-time quantum walks
Quaternion-Based Color Image Smoothing Using a Spatially Varying	kernel
Quick Shift and	kernel	Methods for Mode Seeking
R-LKDepth: Recurrent Depth Learning With Larger	kernel
Radar HRRP Target Recognition Based on the Improved	kernel	Distance Fuzzy C-Means Clustering Method
Radical recognition of handwritten Chinese characters using GA-based	kernel	active shape modelling
Random Features for	kernel	Approximation: A Survey on Algorithms, Theory, and Beyond
Random Features for Large-Scale	kernel	Machines
Random Fourier Approximations for Skewed Multiplicative Histogram	kernel	s
Random Laplace Feature Maps for Semigroup	kernel	s on Histograms
Random Noise Suppression of Magnetic Resonance Sounding Data with Intensive Sampling Sparse Reconstruction and	kernel	Regression Estimation
Random Walk	kernel	Applications to Classification Using Support Vector Machines
Random Walk	kernel	Derived from Graph Edit Distance, A
RANSAC lens boundary feature based	kernel	SVM for transparent contact lens detecTion
rapid anomalous region extraction method by iterative projection onto	kernel	eigenspace, A
Rapid spline-based	kernel	density estimation for bayesian networks
Rapid Uncertainty Computation with Gaussian Processes and Histogram Intersection	kernel	s
Real Time Illumination Invariant Background Subtraction Using Local	kernel	Histograms
Real-Time Anomaly Detection Based on a Fast Recursive	kernel	RX Algorithm
Real-Time Human Pose Inference using	kernel	Principal Component Pre-image Approximations
Real-Time Image Matching Based on Multiple View	kernel	Projection
Real-time interactive multi-target tracking using	kernel	-based trackers
Real-Time Motion Detection for a Mobile Observer Using Multiple	kernel	Tracking and Belief Propagation
Real-Time Pattern Matching Using Projection	kernel	s
Real-Time Range Image Segmentation Using Adaptive	kernel	s and Kalman Filtering
Real-time super-resolution for digital zooming using finite	kernel	-based edge orientation estimation and truncated image restoration
Real-World Image Super-Resolution Via	kernel	Augmentation And Stochastic Variation
Real-world remote sensing image super-resolution via a practical degradation model and a	kernel	-aware network
Real-World Super-Resolution via	kernel	Estimation and Noise Injection
Realization of Autoencoders by	kernel	Methods
Realtime	kernel	based Machine Learning Template Matching (KMLT)
Recent Advances in	kernel	Machines
Recognising Trajectories of Facial Identities Using	kernel	Discriminant Analysis
Recognition of Distorted Patterns by Invariance	kernel	s
Recognition with local features: the	kernel	recipe
Recognizing Face or Object from a Single Image: Linear vs.	kernel	Methods on 2D Patterns
Recognizing in the depth: Selective 3D Spatial Pyramid Matching	kernel	for object and scene categorization
Recursive Online	kernel	PCA Algorithm, A
Reference-Based Blind Super-Resolution	kernel	Estimation
Referenceless Measure of Blocking Artifacts by Tchebichef	kernel	Analysis
reformative	kernel	Fisher discriminant analysis, A
Reformulating Graph	kernel	s for Self-Supervised Space-Time Correspondence Learning
Region-Based Classification of PolSAR Data Through	kernel	Methods and Stochastic Distances
Region-	kernel	-Based Support Vector Machines for Hyperspectral Image Classification
Registration with Uncertainties and Statistical Modeling of Shapes with Variable Metric	kernel	s
Regression from patch-	kernel
Regularized adaptive super-resolution using	kernel	estimation-based edge reconnection and kernel orientation constraints
Regularized adaptive super-resolution using	kernel	estimation-based edge reconnection and kernel orientation constraints
Regularized Gradient	kernel	Anisotropic Diffusion for Better Image Filtering
Regularized	kernel	Least Mean Square Algorithm with Multiple-delay Feedback
Regularized	kernel	Locality Preserving Discriminant Analysis for Face Recognition
Regularized Locality Preserving Learning of Pre-Image Problem in	kernel	Principal Component Analysis
Regularized motion blur-	kernel	estimation with adaptive sparse image prior learning
Regularized single-	kernel	conditional density estimation for face description
Regularizing multiple	kernel	learning using response surface methodology
Reinforcement Learning in Reproducing	kernel	Hilbert Spaces: Enabling Continuous Brain-Machine Interface Adaptation
relational	kernel	-based approach to scene classification, A
Relational	kernel	-Based Framework for Hierarchical Image Understanding, A
Relationship Between Generalization Error and Training Samples in	kernel	Regressors, A
Relaxed Exponential	kernel	s for Unsupervised Learning
Relaxed matching	kernel	s for robust image comparison
Reliable identification of redundant	kernel	s for convolutional neural network compression
Reliable Multi-	kernel	Subtask Graph Correlation Tracker
reliable string	kernel	based approach for solving queries by sketch, A
Remote sensing image segmentation using geodesic-	kernel	functions and multi-feature spaces
Removing Turbulence Effect via Hybrid Total Variation and Deformation-Guided	kernel	Regression
Reply to Comments on Traffic Sign Recognition Using	kernel	Extreme Learning Machines With Deep Perceptual Features
Representative Multiple	kernel	Learning for Classification in Hyperspectral Imagery
Representing shape with a spatial pyramid	kernel
Reproducing	kernel	Hilbert Space Approach for Q-Ball Imaging, A
Reproducing	kernel	Hilbert space based estimation of systems of ordinary differential equations
Reproducing	kernel	Hilbert-Space Method for Optimal Interpolation of Potential Field Data
Rethinking Depthwise Separable Convolutions: How Intra-	kernel	Correlations Lead to Improved MobileNets
Retinal vessel segmentation using multiwavelet	kernel	s and multiscale hierarchical decomposition
Retrieval of Ultraviolet Diffuse Attenuation Coefficients From Ocean Color Using the	kernel	Principal Components Analysis Over Ocean
Retrieval with Knowledge-driven	kernel	Design: An Approach to Improving SVM-Based CBIR with Relevance Feedback
Revisiting	kernel	Temporal Segmentation as an Adaptive Tokenizer for Long-form Video Understanding
RGBD object pose recognition using local-global multi-	kernel	regression
Rician Noise Removal Approach for Brain MR Images Using	kernel	Principal Component Analysis
Riemannian coding and dictionary learning:	kernel	s to the rescue
Riemannian	kernel	based Nystrom method for approximate infinite-dimensional covariance descriptors with application to image set classification
Riemannian manifold-valued part-based features and geodesic-induced	kernel	machine for activity classification dedicated to assisted living
Road safety analysis for high-speed vehicle in complex environments based on the viability	kernel
Road Sign Classification using Laplace	kernel	Classifier
Robust Active Appearance Models with Iteratively Rescaled	kernel	s
Robust Adaptive Filtering With q-Gaussian	kernel	Mean p-Power Error
Robust and Scalable Visual Category and Action Recognition System Using	kernel	Discriminant Analysis With Spectral Regression, A
Robust Blind Deconvolution with Convolution-Spectrum-Based	kernel	Regulariser and Poisson-Noise Data Terms
Robust Blur	kernel	Estimation for License Plate Images From Fast Moving Vehicles
Robust blurred face recognition using sample-wise	kernel	estimation and random compressed multi-scale local binary pattern histograms
Robust Cauchy	kernel	Conjugate Gradient Algorithm for Non-Gaussian Noises
Robust Computer Vision through	kernel	Density Estimation
Robust Ellipse Fitting With Laplacian	kernel	Based Maximum Correntropy Criterion
Robust Estimation of Motion Blur	kernel	Using a Piecewise-Linear Model
Robust Face Recognition by Multiscale	kernel	Associative Memory Models Based on Hierarchical Spatial-Domain Gabor Transforms
Robust face recognition under partial occlusion based on support vector machine with local Gaussian summation	kernel
Robust Head Tracking Based on Multiple Cues Fusion in the	kernel	-Bayesian Framework
Robust Image Deblurring With an Inaccurate Blur	kernel
Robust image denoising using	kernel	-induced measures
Robust Image Restoration via Adaptive Low-Rank Approximation and Joint	kernel	Regression
Robust Image Segmentation Using FCM With Spatial Constraints Based on New	kernel	-Induced Distance Measure
Robust infrared small target detection using local steering	kernel	reconstruction
Robust	kernel	Correlation Based Bi-Channel Signal Detection With Correlated Non-Gaussian Noise
Robust	kernel	discriminant analysis using fuzzy memberships
Robust	kernel	estimation for single image blind deconvolution
Robust	kernel	Estimation with Outliers Handling for Image Deblurring
Robust	kernel	Isomap
Robust	kernel	principal nested spheres
Robust	kernel	Regression for Restoration and Reconstruction of Images from Sparse Noisy Data
Robust	kernel	-based feature representation for 3D point cloud analysis via circular convolutional network
Robust	kernel	-based learning for image-related problems
Robust	kernel	-Based Tracking using Optimal Control
Robust Low Rank and Sparse Representation for Multiple	kernel	Dimensionality Reduction
Robust Metric based Anomaly Detection in	kernel	Feature Space
Robust motion estimation and structure recovery from endoscopic image sequences with an Adaptive Scale	kernel	Consensus estimator
Robust multi-feature visual tracking via multi-task	kernel	-based sparse learning
robust multi-	kernel	change detection framework for detecting leaf beetle defoliation using Landsat 7 ETM+ data, A
Robust object recognition in RGB-D egocentric videos based on Sparse Affine Hull	kernel
Robust Object Tracking using Local	kernel	s and Background Information
Robust object tracking with background-weighted local	kernel	s
Robust penalty-weighted deblurring via	kernel	adaption using single image
Robust Registration and Tracking Using	kernel	Density Correlation
Robust Scale Adaptive	kernel	Correlation Filter Tracker With Hierarchical Convolutional Features
Robust Scene Categorization via Scale-Rotation Invariant Generative Model and	kernel	Sparse Representation Classification
Robust Sparse Learning Based on	kernel	Non-Second Order Minimization
Robust Tracking with Motion Estimation and Local	kernel	-Based Color Modeling
Robust Visual Place Recognition with Graph	kernel	s
Robust visual tracking via augmented	kernel	SVM
Robust Visual Tracking via Constrained Multi-	kernel	Correlation Filters
Robust Visual Tracking via Multiple	kernel	Boosting With Affinity Constraints
Robust Visual Tracking via Smooth Manifold	kernel	Sparse Learning
Robustly tracking objects via multi-task	kernel	dynamic sparse model
RotateConv: Making Asymmetric Convolutional	kernel	s Rotatable
Rotation and translation covariant match	kernel	s for image retrieval
Rotation Invariant	kernel	s and Their Application to Shape Analysis
Rotation, illumination invariant polynomial	kernel	Fisher discriminant analysis using Radon and discrete cosine transforms based features for face recognition
Rotation-Invariant Convolution Networks with Hexagon-Based	kernel	s
S-	kernel	and a Symmetry Measure Based on Correlation, The
S-	kernel	: A measure of symmetry of objects, The
S3-MKL: Scalable Semi-Supervised Multiple	kernel	Learning for Real-World Image Applications
SAKS: Sampling Adaptive	kernel	s From Subspace for Point Cloud Graph Convolution
Saliency Hierarchy Modeling via Generative	kernel	s for Salient Object Detection
SAR Image Change Detection Based on Correlation	kernel	and Multistage Extreme Learning Machine
SAR Image Change Detection Based on Iterative Label-Information Composite	kernel	Supervised by Anisotropic Texture
SAR image noise suppression of BEMD by the	kernel	principle component analysis
SAR Image Segmentation Using	kernel	Based Spatial FCM
Scalable action localization with	kernel	-space hashing
Scalable and compact 3D action recognition with approximated RBF	kernel	machines
Scalable Bag of Subpaths	kernel	for Learning on Hierarchical Image Representations and Multi-Source Remote Sensing Data Classification
Scalable	kernel	Correlation Filter with Sparse Feature Integration
Scalable Mobile Visual Classification by	kernel	Preserving Projection Over High-Dimensional Features
Scalable multi-label annotation via semi-supervised	kernel	semantic embedding
Scalable semi-supervised clustering by spectral	kernel	learning
Scale Adaptive	kernel	Correlation Filter Tracker with Feature Integration, A
Scale invariant	kernel	-based object tracking
Scale Space Graph Representation and	kernel	Matching for Non Rigid and Textured 3D Shape Retrieval
Scale-Invariance of Support Vector Machines based on the Triangular	kernel
Scale-invariant heat	kernel	signatures for non-rigid shape recognition
Scale-Space Analysis and Corner Detection on Digital Curves Using a Discrete Scale-Space	kernel
Scale-Space	kernel	s for Additive Modeling
Scale-time	kernel	s and models
Scaling Up Generalized	kernel	Methods
Scaling Up Your	kernel	s to 31X31: Revisiting Large Kernel Design in CNNs
Scaling Up Your	kernel	s to 31X31: Revisiting Large Kernel Design in CNNs
Scene Categorization Using Deeply Learned Gaze Shifting	kernel
Secrets of GrabCut and	kernel	K-Means
Secure ear biometrics using circular	kernel	principal component analysis, Chebyshev transform hashing and Bose-Chaudhuri-Hocquenghem error-correcting codes
SegGCN: Efficient 3D Point Cloud Segmentation With Fuzzy Spherical	kernel
Segmentation-Free Keyword Spotting for Handwritten Documents Based on Heat	kernel	Signature
Segmented Gray-Code	kernel	s for Fast Pattern Matching
Selective	kernel	and Motion-emphasized Loss Based Attention-guided Network for HDR Imaging of Dynamic Scenes
Selective	kernel	Networks
Selective multiple	kernel	learning for classification with ensemble strategy
Selectivity supervision in combining pattern-recognition modalities by feature- and	kernel	-selective support vector machines
Self-adaptive weighted synthesised local directional pattern integrating with sparse autoencoder for expression recognition based on improved multiple	kernel	learning strategy
Self-Paced	kernel	Estimation for Robust Blind Image Deblurring
Self-Supervised Learning for Object Recognition based on	kernel	Discriminant-EM Algorithm
Self-supervised Non-uniform	kernel	Estimation with Flow-based Motion Prior for Blind Image Deblurring
Self-tuning density estimation based on Bayesian averaging of adaptive	kernel	density estimations yields state-of-the-art performance
Semantic	kernel	Learning for Interactive Image Retrieval
Semantic pooling for image categorization using multiple	kernel	learning
Semantic Segmentation of 3D Point Cloud Based on Spatial Eight-Quadrant	kernel	Convolution
Semi-structured document categorization with a semantic	kernel
Semi-supervised action recognition in video via Labeled	kernel	Sparse Coding and sparse L1 graph
Semi-supervised adaptive	kernel	concept factorization
Semi-supervised clustering of large data sets with	kernel	methods
Semi-supervised clustering with metric learning: An adaptive	kernel	method
Semi-Supervised Domain Adaptation Via Fredholm Integral Based	kernel	Methods
Semi-supervised Feature Selection by Mutual Information Based on	kernel	Density Estimation
Semi-supervised	kernel	canonical correlation analysis with application to human fMRI
Semi-supervised	kernel	density estimation for video annotation
Semi-supervised	kernel	matrix learning using adaptive constraint-based seed propagation
Semi-Supervised	kernel	Mean Shift Clustering
Semi-supervised	kernel	Regression Using Whitened Function Classes
Semi-supervised learning by locally linear embedding in	kernel	space
Semi-supervised learning with	kernel	locality-constrained linear coding
Semi-supervised multi-Layer convolution	kernel	learning in credit evaluation
Semi-Supervised Multi-Spectral Land Cover Classification With Multi-Attention and Adaptive	kernel
Semi-supervised object recognition using structure	kernel
Semi-supervised Online	kernel	Semantic Embedding for Multi-label Annotation
Semisupervised Hashing via	kernel	Hyperplane Learning for Scalable Image Search
Semisupervised	kernel	Feature Extraction for Remote Sensing Image Analysis
Separable	kernel	for Image Deblurring
Separating Reflections from Images Using	kernel	Independent Component Analysis
Sequence	kernel	s for Clustering and Visualizing Near Duplicate Video Segments
Sequential	kernel	Density Approximation and Its Application to Real-Time Visual Tracking
Series Expansions of the Reconstruction	kernel	of the Radon Transform over a Cormack-Type Family of Curves with Applications in Tomography
set of new Chebyshev	kernel	functions for support vector machine pattern classification, A
Shape based appearance model for	kernel	tracking
Shape Categorization Using String	kernel	s
Shape Classification Using a Flexible Graph	kernel
Shape Classification Using Hilbert Space Embeddings and	kernel	Adaptive Filtering
Shape classification with a vertex clustering graph	kernel
Shape driven	kernel	adaptation in Convolutional Neural Network for robust facial trait recognition
Shape from focus using	kernel	regression
Shape Priors by	kernel	Density Modeling of PCA Residual Structure
Shape recognition based on	kernel	-edit distance
Shape Representation based on Integral	kernel	s: Application to Image Matching and Segmentation
Shape Similarity Based on a Treelet	kernel	with Edition
Shape similarity based on combinatorial maps and a tree pattern	kernel
Shape Statistics in	kernel	Space for Variational Image Segmentation
Shape-Adaptive	kernel	Network for Dense Object Detection
Shape-Based Approach to Robust Image Segmentation using	kernel	PCA
Shape-Based Image Matching Using Heat	kernel	s and Diffusion Maps
Shared	kernel	Information Embedding for Discriminative Inference
Shift-Variant Blind Deconvolution Using a Field of	kernel	s
Short- Time Beltrami	kernel	for Smoothing Images and Manifolds, A
Signal Extrapolation for Image and Video Error Concealment Using Gaussian Processes With Adaptive Nonstationary	kernel	s
Signal-to-noise ratio in reproducing	kernel	Hilbert spaces
Signature verification based on fusion of on-line and off-line	kernel	s
Similar handwritten Chinese character recognition by	kernel	discriminative locality alignment
Similarity learning on an explicit polynomial	kernel	feature map for person re-identification
Similarity preservation in dimensionality reduction using a	kernel	-based cost function
Simple and Fast Algorithm for L1-Norm	kernel	PCA, A
Simple yet efficient downscaling of land surface temperatures by suitably integrating	kernel	- and fusion-based methods
SimpleMKKM: Simple Multiple	kernel	K-Means
Simultaneous dimensionality reduction and human age estimation via	kernel	partial least squares regression
Simultaneous Learning of Localized Multiple	kernel	s and Classifier with Weighted Regularization
Simultaneous tumor segmentation, image restoration, and blur	kernel	estimation in PET using multiple regularizations
Simultaneous Twin	kernel	Learning Using Polynomial Transformations for Structured Prediction
Sinc-Approximating	kernel	s of Classical Polynomial Interpolation, The
Single Image Defocus Deblurring Using	kernel	-Sharing Parallel Atrous Convolutions
Single Image Defocus Deblurring via Implicit Neural Inverse	kernel	s
Single image dehazing using	kernel	regression model and dark channel prior
Single image enlargement based on	kernel	estimation and linear weighting
Single Image Super-Resolution With Non-Local Means and Steering	kernel	Regression
Single-frame hand gesture recognition using color and depth	kernel	descriptors
Single-Image Super-Resolution Based on Compact KPCA Coding and	kernel	Regression
Single-Image Super-Resolution by Subdictionary Coding and	kernel	Regression
Single-image super-resolution using	kernel	recursive least squares
Single-image super-resolution using online	kernel	adaptive filters
Single-Image Super-Resolution via an Iterative Reproducing	kernel	Hilbert Space Method
SK-SVR: Sigmoid	kernel	support vector regression based in-scale single image super-resolution
SKCS: New	kernel	family with compact support
SKCS: New separable	kernel	family with compact support: Application to visual segmentation of handwritten data
Sliced Wasserstein	kernel	s for Probability Distributions
Sliding Discrete Fourier Transform with	kernel	Windowing
SLiKER: Sparse loss induced	kernel	ensemble regression
Smart Cloud and IoVT-Based	kernel	Adaptive Filtering Framework for Parking Prediction, A
Smart pansharpening approach using	kernel	-based image filtering
Smoothing of optical flow using robustified diffusion	kernel	s
SnipeDet: Attention-guided pyramidal prediction	kernel	s for generic object detection
SNR of Positron Emission Data With Gaussian and Non-Gaussian Time-of-Flight	kernel	s, With Application to Prompt Photon Coincidence, The
Sobel Heuristic	kernel	for Aerial Semantic Segmentation
Soft-Margin Learning for Multiple Feature-	kernel	Combinations with Domain Adaptation, for Recognition in Surveillance Face Datasets
Space-Time Flexible	kernel	for Recognizing Activities from Wearable Cameras
Space-Time Zernike Moments and Pyramid	kernel	Descriptors for Action Classification
Space-variant blur	kernel	estimation and image deblurring through kernel clustering
Space-variant blur	kernel	estimation and image deblurring through kernel clustering
Sparse Coding and Dictionary Learning for Symmetric Positive Definite Matrices: A	kernel	Approach
Sparse Hilbert Schmidt Independence Criterion and Surrogate-	kernel	-Based Feature Selection for Hyperspectral Image Classification
Sparse	kernel	approximations for efficient classification and detection
Sparse	kernel	Density Construction Using Orthogonal Forward Regression With Leave-One-Out Test Score and Local Regularization
Sparse	kernel	feature extraction via support vector learning
Sparse	kernel	k-means for high-dimensional data
Sparse	kernel	Learning for Image Set Classification
Sparse	kernel	Machines for Discontinuous Registration and Nonstationary Regularization
Sparse	kernel	Reduced-Rank Regression for Bimodal Emotion Recognition From Facial Expression and Speech
sparse	kernel	relevance model for automatic image annotation, A
Sparse	kernel	-Based Ensemble Learning With Fully Optimized Kernel Parameters for Hyperspectral Classification Problems
Sparse	kernel	-Based Ensemble Learning With Fully Optimized Kernel Parameters for Hyperspectral Classification Problems
Sparse	kernel	s for Bayes Optimal Discriminant Analysis
Sparse Multi-Scale Diffeomorphic Registration: The	kernel	Bundle Framework
Sparse multinomial	kernel	discriminant analysis (sMKDA)
Sparse Multiple	kernel	Learning for Signal Processing Applications
Sparse Representation Based Complete	kernel	Marginal Fisher Analysis Framework for Computational Art Painting Categorization
Sparse representation of a blur	kernel	for out-of-focus blind image restoration
Sparse Representation With	kernel	s
Sparse Robust Adaptive Filtering Algorithm Based on the q-Renyi	kernel	Function, A
sparsity driven	kernel	machine based on minimizing a generalization error bound, A
Sparsity-Constrained	kernel	Recursive Generalized Maximum Versoria Criterion Algorithm
Spatial and Anatomical Regularization Based on Multiple	kernel	Learning for Neuroimaging Classification
Spatial graphlet matching	kernel	for recognizing aerial image categories
Spatial	kernel	K-harmonic means clustering for multi-spectral image segmentation
Spatial Markov	kernel	s for Image Categorization and Annotation
Spatial Morphing	kernel	Regression for Feature Interpolation
Spatial Sampling and Grouping Information Entropy Strategy Based on	kernel	Fuzzy C-Means Clustering Method for Hyperspectral Band Selection
Spatial-scale-regularized blur	kernel	estimation for blind image deblurring
Spatial-Spectral Graph Regularized	kernel	Sparse Representation for Hyperspectral Image Classification
spatial-spectral	kernel	-based approach for the classification of remote-sensing images, A
spatial-temporal contextual Markovian	kernel	method for multi-temporal land cover mapping, A
Spatially Adaptive	kernel	Regression Using Risk Estimation
Spatially-Variant	kernel	for Optical Flow Under Low Signal-to-Noise Ratios Application to Microscopy
Spatio-Temporal Analysis of Wetland Changes Using a	kernel	Extreme Learning Machine Approach
Spatio-temporal Event Classification Using Time-Series	kernel	Based Structured Sparsity
Spatio-Temporal Tube	kernel	for actor retrieval
Spatio-temporal video interpolation and denoising using motion-assisted steering	kernel	(MASK) regression
Speaker Identification and Verification Using Support Vector Machines and Sparse	kernel	Logistic Regression
Speaker Identification Using the VQ-Based Discriminative	kernel	s
Spectral alignment of multi-temporal cross-sensor images with automated	kernel	canonical correlation analysis
Spectral Clustering Using PCKID: A Probabilistic Cluster	kernel	for Incomplete Data
Spectral Clustering with Jensen-Type	kernel	s and Their Multi-point Extensions
Spectral Fingerprinting of Methane from Hyper-Spectral Sounder Measurements Using Machine Learning and Radiative	kernel	-Based Inversion
Spectral Graph	kernel	and Its Application to Collective Activities Classification, A
Spectral imaging using consumer-level devices and	kernel	-based regression
Spectral Leakage and Rethinking the	kernel	Size in CNNs
Spectral Partitioning with Indefinite	kernel	s Using the Nystrom Extension
Spectral Reflectance Estimation Using Gaussian Processes and Combination	kernel	s
Spectral Unmixing in Multiple-	kernel	Hilbert Space for Hyperspectral Imagery
Spectral-Similarity-Based	kernel	of SVM for Hyperspectral Image Classification
Spectral-Spatial Classification of Hyperspectral Image Based on	kernel	Extreme Learning Machine
Spectral-Spatial Feature Extraction for Hyperspectral Image Classification Using Enhanced Transformer with Large-	kernel	Attention
Spectral-Spatial	kernel	Regularized for Hyperspectral Image Denoising
Spectral-Spatial Weighted	kernel	Manifold Embedded Distribution Alignment for Remote Sensing Image Classification
Spectral-Texture	kernel	-Based Classification Method for Hyperspectral Images, A
Speech emotion recognition based on	kernel	reduced-rank regression
Speeding up Support Vector Machine (SVM) image classification by a	kernel	series expansion
Speeding-up the	kernel	k-means clustering method: A prototype based hybrid approach
Spherical	kernel	for Efficient Graph Convolution on 3D Point Clouds
Spindle-Net: CNNs for Monocular Depth Inference with Dilation	kernel	Method
SplineCNN: Fast Geometric Deep Learning with Continuous B-Spline	kernel	s
SPNet: Multi-shell	kernel	Convolution for Point Cloud Semantic Segmentation
stable multi-scale	kernel	for topological machine learning, A
Stacked spatial-pyramid	kernel	: An object-class recognition method to combine scores from random trees
statistic manifold	kernel	with graph embedding discriminant analysis for action and expression recognition, A
statistical analysis of the	kernel	-based MMSE estimator with application to image reconstruction, A
Statistical Edge Detection in CT Image by	kernel	Density Estimation and Mean Square Error Distance
Statistical-based approach for driving style recognition using Bayesian probability with	kernel	density estimation
Steerable	kernel	s for arbitrarily-sampled spaces
Steerable-Scalable	kernel	s for Edge Detection and Junction Analysis
Stochastic Filter Groups for Multi-Task CNNs: Learning Specialist and Generalist Convolution	kernel	s
Stochastic gradient	kernel	density mode-seeking
Story of the GeoToolKit: An Object-Oriented Geodatabase	kernel	System, The
String	kernel	s for Complex Time-Series: Counting Targets from Sensed Movement
String	kernel	s for Matching Seriated Graphs
Struck: Structured Output Tracking with	kernel	s
Structural	kernel	Learning for Large Scale Multiclass Object Co-detection
Structured and Consistent Multi-Layer Multi-	kernel	Subtask Correction Filter Tracker
Structured	kernel	Dictionary Learning With Correlation Constraint for Object Recognition
Structured	kernel	Estimation for Photon-Limited Deconvolution
Structured sparsity regularized multiple	kernel	learning for Alzheimer's disease diagnosis
Study of Embedded Font Context and	kernel	Space Methods for Improved Videotext Recognition
Study of Point Cloud Registration with Probability Product	kernel	Functions, A
Study on Convergence of Plug-and-Play ISTA With Adaptive-	kernel	Denoisers
Sub-Network	kernel	s for Measuring Similarity of Brain Connectivity Networks in Disease Diagnosis
Sub-pixel motion estimation using	kernel	methods
Subpath	kernel	for Learning Hierarchical Image Representations, A
Subset	kernel	PCA for pattern recognition
Subspace Learning in Krein Spaces: Complete	kernel	Fisher Discriminant Analysis with Indefinite Kernels
Subspace Learning in Krein Spaces: Complete	kernel	Fisher Discriminant Analysis with Indefinite Kernels
Success based locally weighted Multiple	kernel	combination
Sum-over-Paths Covariance	kernel	: A Novel Covariance Measure between Nodes of a Directed Graph, The
Super-Interpolation With Edge-Orientation-Based Mapping	kernel	s for Low Complex 2-times Upscaling
Super-resolution by polar Newton-Thiele's rational	kernel	in centralized sparsity paradigm
Super-Resolution Doppler Velocity Estimation by	kernel	-Based Range: tau Point Conversions for UWB Short-Range Radars
Super-Resolution of Face Images Using	kernel	PCA-Based Prior
Superpixel-Based Adaptive	kernel	Selection for Angular Effect Normalization of Remote Sensing Images With Kernel Learning
Superpixel-Based Adaptive	kernel	Selection for Angular Effect Normalization of Remote Sensing Images With Kernel Learning
Supervised Classification of Hyperspectral Images Using Local-Receptive-Fields-Based	kernel	Extreme Learning Machine
Supervised discrete cross-modal hashing based on	kernel	discriminant analysis
Supervised hashing with	kernel	s
Supervised	kernel	Descriptors for Visual Recognition
Supervised non-parametric discretization based on	kernel	density estimation
Supervised transfer	kernel	sparse coding for image classification
Support	kernel	Machines for Object Recognition
Support object classifiers with rigid and elastic	kernel	functions for face identification
Support vector clustering of time series data with alignment	kernel	s
Support vector machine with local summation	kernel	for robust face recognition
Support vector machine with orthogonal Chebyshev	kernel
Support Vector Machine with Weighted Summation	kernel	Obtained by Adaboost
Support Vector Machines and	kernel	Methods: The New Generation of Learning Machines
Support vector machines with time series distance	kernel	s for action classification
Surface-from-Gradients without Discrete Integrability Enforcement: A Gaussian	kernel	Approach
survey of	kernel	and spectral methods for clustering, A
SVD and Log-Log Frequency Sampling with Gabor	kernel	s for Invariant Pictorial Recognition
Symbol Recognition with	kernel	Density Matching
TAKDE: Temporal Adaptive	kernel	Density Estimator for Real-Time Dynamic Density Estimation
Tangent distance	kernel	s for support vector machines
Tangent	kernel	Approach to Illumination-Robust Texture Classification, The
Tangent vector	kernel	s for invariant image classification with SVMs
Target Detection With Semisupervised	kernel	Orthogonal Subspace Projection
Target Tracking Techniques,	kernel	Tracking
Targeted	kernel	Networks: Faster Convolutions with Attentive Regularization
Task-Adaptive Embedding Learning with Dynamic	kernel	Fusion for Few-Shot Remote Sensing Scene Classification
Task-dependent multi-task multiple	kernel	learning for facial action unit detection
Taylor Optimal	kernel	for Derivative Etimation
Temporal	kernel	Consistency for Blind Video Super-Resolution
Tensor Representations via	kernel	Linearization for Action Recognition from 3D Skeletons
Tensor-Based Filter Design using	kernel	Ridge Regression
Tensorial	kernel	Based on Spatial Structure Information for Neuroimaging Classification
Text Image Deblurring Using	kernel	Sparsity Prior
texton-based	kernel	density estimation approach for background modeling under extreme conditions, A
Textural	kernel	for SVM Classification in Remote Sensing: Application to Forest Fire Detection and Urban Area Extraction
Texture Classification Using	kernel	Independent Component Analysis
Three dimensional orientation signatures with conic	kernel	filtering for multiple motion analysis
Three-dimensional Fuzzy	kernel	Regression framework for registration of medical volume data
Time Flexible	kernel	framework for video-based activity recognition, A
time pooled track	kernel	for person identification, A
Time Series Classification Using Support Vector Machine with Gaussian Elastic Metric	kernel
Time series cluster	kernel	for learning similarities between multivariate time series with missing data
Time series cluster	kernel	s to exploit informative missingness and incomplete label information
time series	kernel	for action recognition, A
Time-Series Prediction Based on	kernel	Adaptive Filtering with Cyclostationary Codebooks
Time-Variance Aware Dynamic	kernel	Generation for Real-Time Acoustic Echo Cancellation
TKIL: Tangent	kernel	Optimization for Class Balanced Incremental Learning
To Aggregate or Not to aggregate: Selective Match	kernel	s for Image Search
To each according to its need:	kernel	class specific classifiers
To the Point: Efficient 3D Object Detection in the Range Image with Graph Convolution	kernel	s
Top-tuning: A study on transfer learning for an efficient alternative to fine tuning for image classification with fast	kernel	methods
Topology-Based	kernel	s With Application to Inference Problems in Alzheimer's Disease
Total Bregman divergence-driven possibilistic fuzzy clustering with	kernel	metric and local information for grayscale image segmentation
Total least square	kernel	regression
Toward Optimal	kernel	-based Tracking
Towards a Unified Quadrature Framework for Large-Scale	kernel	Machines
Towards deeper match for multi-view oriented multiple	kernel	learning
trace	kernel	bandwidth criterion for support vector data description, The
Tracking by Affine	kernel	Transformations Using Color and Boundary Cues
Tracking Human Under Occlusion Based on Adaptive Multiple	kernel	s With Projected Gradients
Tracking Monotonically Advancing Boundaries in Image Sequences Using Graph Cuts and Recursive	kernel	Shape Priors
Tracking System with Re-identification Using a Graph	kernel	s Approach
Tracking System with Re-identification Using a RGB String	kernel
Tracking-by-Detection Algorithm for Underwater Target Based on Improved Multi-	kernel	Correlation Filter
Traffic Sign Recognition Using	kernel	Extreme Learning Machines With Deep Perceptual Features
Training-Free, Generic Object Detection Using Locally Adaptive Regression	kernel	s
Trajectory-based Fisher	kernel	representation for action recognition in videos
Transductive inference and	kernel	design for object class segmentation
Transductive	kernel	Map Learning and Its Application Image Annotation
Transfer	kernel	Learning for Multi-Source Transfer Gaussian Process Regression
Transfer Learning for Image Segmentation by Combining Image Weighting and	kernel	Learning
Transfer Learning of Wi-Fi Handwritten Signature Signals for Identity Verification based on the	kernel	and the Range Space Projection
Transform	kernel	Selection Strategy for the H.264/AVC and Future Video Coding Standards
transitive aligned Weisfeiler-Lehman subtree	kernel	, A
Transitive State Alignment for the Quantum Jensen-Shannon	kernel
Tree Covering within a Graph	kernel	Framework for Shape Classification
Treelet	kernel	incorporating cyclic, stereo and inter pattern information in chemoinformatics
TricubeNet: 2D	kernel	-Based Object Representation for Weakly-Occluded Oriented Object Detection
Trigonometric Interpolation	kernel	to Construct Deformable Shapes for User-Interactive Applications
Triplanar convolution with shared 2D	kernel	s for 3D classification and shape retrieval
Tropical Forest Fire Susceptibility Mapping at the Cat Ba National Park Area, Hai Phong City, Vietnam, Using GIS-Based	kernel	Logistic Regression
Tumor Classification by Deep Polynomial Network and Multiple	kernel	Learning on Small Ultrasound Image Dataset
Tunable	kernel	s for Tracking
Tuning of the hyperparameters for L2-loss SVMs with the RBF	kernel	by the maximum-margin principle and the jackknife technique
TV Commercial Detection Using Success Based Locally Weighted	kernel	Combination
Twin	kernel	Embedding
Two channel digital watermarking for music based on exponential time-spread echo	kernel
Two New Graph	kernel	s and Applications to Chemoinformatics
Two new graphs	kernel	s in chemoinformatics
Two-Dimensional Parallel Thinning Algorithms Based on Critical	kernel	s
Two-Directional Two-Dimensional	kernel	Canonical Correlation Analysis
Two-Phase	kernel	Estimation for Robust Motion Deblurring
Two-stage multiple	kernel	learning for supervised dimensionality reduction
Two-Stage Object Tracking Method Based on	kernel	and Active Contour
Uncertainty Learning in	kernel	Estimation for Multi-stage Blind Image Super-Resolution
Uncorrelated discriminant vectors using a	kernel	method
Understanding and Improving	kernel	Local Descriptors
Understanding	kernel	Size in Blind Deconvolution
Underwater Fish Tracking for Moving Cameras Based on Deformable Multiple	kernel	s
Unfolded Deep	kernel	Estimation for Blind Image Super-Resolution
Unfolding	kernel	embeddings of graphs: Enhancing class separation through manifold learning
Unfolding Spatial-Temporal Patterns of Taxi Trip based on an Improved Network	kernel	Density Estimation
Unified Framework for Discrete Multi-	kernel	k-means with Kernel Diversity Regularization, A
Unified Framework for Discrete Multi-	kernel	k-means with Kernel Diversity Regularization, A
unified model for human activity recognition using spatial distribution of gradients and difference of Gaussian	kernel	, A
Unified Optimization Perspective to Single/Multi-observation Blur-	kernel	Estimation with Applications to Camera-Shake Deblurring and Nonparametric Blind Super-Resolution, A
Uniqueness of the Gaussian	kernel	for Scale-Space Filtering
Unlabeled patterns to tighten Rademacher complexity error bounds for	kernel	classifiers
Unseen Face Presentation Attack Detection Using Sparse Multiple	kernel	Fisher Null-Space
Unsupervised Change Detection in Multitemporal VHR Images Based on Deep	kernel	PCA Convolutional Mapping Network
Unsupervised Cross-Temporal Classification of Hyperspectral Images With Multiple Geodesic Flow	kernel	Learning
Unsupervised Dense Shape Correspondence using Heat	kernel	s
Unsupervised discriminative feature selection in a	kernel	space via L2,1-norm minimization
Unsupervised domain adaptation using eigenanalysis in	kernel	space for categorisation tasks
Unsupervised Ensemble-	kernel	Principal Component Analysis for Hyperspectral Anomaly Detection
Unsupervised	kernel	Function Building Using Maximization of Information Potential Variability
Unsupervised	kernel	learning for abnormal events detection
Unsupervised Salient Object Segmentation Based on	kernel	Density Estimation and Two-Phase Graph Cut
Unsupervised Trajectory Clustering via Adaptive Multi-	kernel	-Based Shrinkage
use of	kernel	principal component analysis to model data distributions, The
Using a Discrete Hidden Markov Model	kernel	for lip-based biometric identification
Using CNN for facial expression recognition: a study of the effects of	kernel	size and number of filters on accuracy
Using	kernel	Density Classifier with Topic Model and Cost Sensitive Learning for Automatic Text Categorization
Using	kernel	s on Hierarchical Graphs in Automatic Classification of Designs
Using local regression	kernel	s for statistical object detection
Using Non-Parametric	kernel	to Segment and Smooth Images Simultaneously
Using Polynomial	kernel	Support Vector Machines for Speaker Verification
Using Score Distribution Models to Select the	kernel	Type for a Web-Based Adaptive Image Retrieval System (AIRS)
Using Segmentation With Multi-Scale Selective	kernel	for Visual Object Tracking
Variable bit rate video traffic prediction based on	kernel	least mean square method
Variational Bayesian Sparse	kernel	-Based Blind Image Deconvolution With Student's-t Priors
Variational Dirichlet Blur	kernel	Estimation
variational level set model with	kernel	metric induced local image fitting energy, A
Variational Pansharpening Approach Based on Reproducible	kernel	Hilbert Space and Heaviside Function, A
Video aesthetic quality assessment using	kernel	Support Vector Machine with isotropic Gaussian sample uncertainty (KSVM-IGSU)
Video Annotation Based on	kernel	Linear Neighborhood Propagation
Video Block Motion Estimation Based on Gray-Code	kernel	s
Video Deblurring Algorithm Using Accurate Blur	kernel	Estimation and Residual Deconvolution Based on a Blurred-Unblurred Frame Pair
Video deblurring based on bidirectional motion compensation and accurate blur	kernel	estimation
Video Deblurring via Semantic Segmentation and Pixel-Wise Non-linear	kernel
Video Event Classification Using Bag of Words and String	kernel	s
Video Event Detection Using	kernel	Support Vector Machine with Isotropic Gaussian Sample Uncertainty (KSVM-iGSU)
Video Event Recognition Using	kernel	Methods with Multilevel Temporal Alignment
Video Object Segmentation Using	kernel	-based Models and Spatiotemporal Similarity
Video Object Segmentation Using	kernel	ized Memory Network With Multiple Kernels
Video subband VQ coding at 64 kbit/s using short-	kernel	filter banks with an improved motion estimation technique
Video Super-Resolution by Adaptive	kernel	Regression
Video-Based Human Action Recognition Using	kernel	Relevance Analysis
Video-Based Social Behavior Recognition Based on	kernel	Relevance Analysis
View independent face detection based on horizontal rectangular features and accuracy improvement using combination	kernel	of various sizes
View Independent Face Recognition Based on	kernel	Principal Component Analysis of Local Parts
View Independent Video-Based Face Recognition Method Using Posterior Probability in	kernel	Fisher Discriminant Space, A
Virtual Dictionary Based	kernel	Sparse Representation for Face Recognition
Visual Bandwidth Selection for	kernel	Density Maps
Visual category recognition using Spectral Regression and	kernel	Discriminant Analysis
Visual Comparison of Images Using Multiple	kernel	Learning for Ranking
Visual Concept Detection and Annotation via Multiple	kernel	Learning of Multiple Models
Visual Cue Cluster Construction via Information Bottleneck Principle and	kernel	Density Estimation
Visual Event Recognition in News Video using	kernel	Methods with Multi-Level Temporal Alignment
Visual Inspection Method for Subway Tunnel Cracks Based on Multi-	kernel	Convolution Cascade Enhancement Learning
Visual object recognition using probabilistic	kernel	subspace similarity
Visual Object Tracking Based on Local Steering	kernel	s and Color Histograms
Visual recognition by counting instances: A multi-instance cardinality potential	kernel
Visual Tracking by Affine	kernel	Fitting Using Color and Object Boundary
Visual Tracking via Efficient	kernel	Discriminant Subspace Learning
Visual tracking via Graph Regularized	kernel	Correlation Filer and Multi-Memory Voting
Visual Tracking Via	kernel	Sparse Representation With Multikernel Fusion
Volterrafaces: Discriminant analysis using Volterra	kernel	s
Volumetric heat	kernel	signatures
Walsh Hadamard	kernel	-based texture feature for multimodal MRI brain tumour segmentation
Walsh-Hadamard Transform	kernel	-Based Feature Vector for Shot Boundary Detection
Wasserstein Gradient Flows of the Discrepancy with Distance	kernel	on the Line
wave	kernel	signature: A quantum mechanical approach to shape analysis, The
Wavelet decomposition and reconstruction using arbitrary	kernel	s: a new approach
Wavelet	kernel	Construction for Kernel Discriminant Analysis on Face Recognition
Wavelet	kernel	Construction for Kernel Discriminant Analysis on Face Recognition
Wavelet	kernel	learning
Wavelet subband-based steam detection by multiple	kernel	learning
Weakly Supervised Learning on Pre-image Problem in	kernel	Methods
Weakly Supervised Multimodal	kernel	for Categorizing Aerial Photographs
Weakly supervised segment annotation via expectation	kernel	density estimation
Weakly-supervised hashing in	kernel	space
Weather Radar Data Interpolation Using a	kernel	-Based Lagrangian Nowcasting Technique
Weighted Cluster Ensemble Using a	kernel	Consensus Function
Weighted Guided Image Filtering With Steering	kernel
Weighted	kernel	joint sparse representation for hyperspectral image classification
Weighted Manifold Alignment using Wave	kernel	Signatures for Aligning Medical Image Datasets
Weighted Multi-	kernel	Prediction Network for Burst Image Super-Resolution
Weighted partition consensus via	kernel	s
What you saw is not what you get: Domain adaptation using asymmetric	kernel	transforms
When	kernel	Methods Meet Feature Learning: Log-Covariance Network for Action Recognition From Skeletal Data
Why Does a Hilbertian Metric Work Efficiently in Online Learning With	kernel	s?
Wide coverage natural language processing using	kernel	methods and neural networks for structured data
Width optimization of RBF	kernel	s for binary classification of support vector machines: A density estimation-based approach
Within-component and between-component multi-	kernel	discriminating correlation analysis for colour face recognition
Word-wise Sinhala Tamil and English script identification using Gaussian	kernel	SVM
X-Y separable pyramid steerable scalable	kernel	s
Zero-Attracting	kernel	Maximum Versoria Criterion Algorithm for Nonlinear Sparse System Identification
Zero-Shot Domain Adaptation via	kernel	Regression on the Grassmannian
Zero-Shot	kernel	Learning
Zero-Shot Super-Resolution With a Physically-Motivated Downsampling	kernel	for Endomicroscopy

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