Journals starting with pr_7

PR(7) * Automatic Classification of Mass Spectra by Means of Digital Learning Nets: Existence of Characteristic Features of Chemical Class in Mass Spectra
* Computer recognition of the human spinal outline using radiographic image processing
* direct method for cluster analysis, A
* Estimating the probability of misclassification and variate selection
* feasible computer system for grey-level, pictorial pattern recognition, A
* Finding the Edges of the Surfaces of Three-Dimensional Curved Objects by Computer
* heuristic strategy for developing human facial images on a CRT, A
* Holographic or Fourier Logic
* Iterations of a non-linear transformation for enhancement of digital images
* Mosaic Grammars
* multidimensional approach to syntactic pattern recognition, A
* note on inverse filtering for anisoplanatic systems with coherent illumination, A
* On a class of computationally efficient feature selection criteria
* pattern classification by dynamic tactile sense information processing, A
* Pattern Discrimination Problem from the Perspective of Relation Theory, The
* Recent progress to formal approach of pattern recognition and scene analysis
* Recognizing Patterns: Are there Processes that Precede Feature Analysis?
* reconstruction of objects from shadowgraphs with high contrasts, The
* Signal analysis for rotating machinery vibrations
* Some general remarks about pattern recognition; its definition; its relation with other disciplines; a literature survey
* Some new concepts for encoding line patterns
* Syntactic Approach to Fingerprint Pattern Recognition, A
* Three-dimensional object reconstruction from orthogonal projections
23 for PR(7)

PR(70) * Class Switching according to Nearest Enemy Distance for learning from highly imbalanced data-sets
* connected-component labeling problem: A review of state-of-the-art algorithms, The
* efficient temporal distortion measure of videos based on spacetime texture, An
* Feature selection for regression problems based on the Morisita estimator of intrinsic dimension
* Graph regularized nonnegative sparse coding using incoherent dictionary for approximate nearest neighbor search
* Hierarchical Multi-label Classification using Fully Associative Ensemble Learning
* Higher order spectral regression discriminant analysis (HOSRDA): A tensor feature reduction method for ERP detection
* Learning features for offline handwritten signature verification using deep convolutional neural networks
* Low-rank preserving embedding
* Mini-batch bagging and attribute ranking for accurate user authentication in keystroke dynamics
* Multiple kernel learning with hybrid kernel alignment maximization
* Simpler editing of graph-based segmentation hierarchies using zipping algorithms
* TextProposals: A text-specific selective search algorithm for word spotting in the wild
* Withdrawn: Adaptive multiclass support vector machine for multimodal data analysis
14 for PR(70)

PR(71) * 3D image analysis by separable discrete orthogonal moments based on Krawtchouk and Tchebichef polynomials
* Active learning based on minimization of the expected path-length of random walks on the learned manifold structure
* Automated segmentation of overlapped nuclei using concave point detection and segment grouping
* Automatic image annotation via label transfer in the semantic space
* Blind quality estimator for 3D images based on binocular combination and extreme learning machine
* Computer-aided diagnosis of mammographic masses based on a supervised content-based image retrieval approach
* Consistency of mean partitions in consensus clustering
* Data equilibrium based automatic image annotation by fusing deep model and semantic propagation
* deep convolutional neural network module that promotes competition of multiple-size filters, A
* Deep patch learning for weakly supervised object classification and discovery
* Editorial of the Special Issue on Multi-instance Learning in Pattern Recognition and Vision
* Fast density clustering strategies based on the k-means algorithm
* Feature extraction from histopathological images based on nucleus-guided convolutional neural network for breast lesion classification
* Gazing point dependent eye gaze estimation
* Generation of human depth images with body part labels for complex human pose recognition
* GIR-based ensemble sampling approaches for imbalanced learning
* Handcrafted vs. non-handcrafted features for computer vision classification
* Head pose estimation in the wild using Convolutional Neural Networks and adaptive gradient methods
* How deep learning extracts and learns leaf features for plant classification
* Indefinite Core Vector Machine
* LG-CNN: From local parts to global discrimination for fine-grained recognition
* Matrix completion by least-square, low-rank, and sparse self-representations
* Multi-gradient features and elongated quinary pattern encoding for image-based facial expression recognition
* multi-scale deep quad tree based feature extraction method for the recognition of isolated handwritten characters of popular indic scripts, A
* Multiple metric learning based on bar-shape descriptor for person re-identification
* Nonnegative matrix factorization algorithms for link prediction in temporal networks using graph communicability
* novel framework for parsimonious multivariate analysis, A
* novel graph-based optimization framework for salient object detection, A
* robust face recognition approach through symbolic modeling of Polar FFT features, A
* Robust-learning fuzzy c-means clustering algorithm with unknown number of clusters
* SALE: Self-adaptive LSH encoding for multi-instance learning
* Scale space clustering evolution for salient region detection on 3D deformable shapes
* Sparse representation over discriminative dictionary for stereo matching
* Spatio-temporal union of subspaces for multi-body non-rigid structure-from-motion
* Two-dimensional subspace alignment for convolutional activations adaptation
* very simple framework for 3D human poses estimation using a single 2D image: Comparison of geometric moments descriptors, A
* Watch, attend and parse: An end-to-end neural network based approach to handwritten mathematical expression recognition
37 for PR(71)

PR(72) * 4DCAF: A temporal approach for denoising hyperspectral image sequences
* Adaptive Compressive Tracking based on Locality Sensitive Histograms
* Age and gender recognition in the wild with deep attention
* Automated segmentation of retinal layers from optical coherence tomography images using geodesic distance
* Banknote recognition based on optimization of discriminative regions by genetic algorithm with one-dimensional visible-light line sensor
* Breast cancer diagnosis in DCE-MRI using mixture ensemble of convolutional neural networks
* Building fast and compact convolutional neural networks for offline handwritten Chinese character recognition
* Centroid-aware local discriminative metric learning in speaker verification
* Effective training of convolutional neural networks for face-based gender and age prediction
* Efficient planar affine canonicalization
* Entropy based probabilistic collaborative clustering
* Fast Fisher discriminant analysis with randomized algorithms
* Fisher vector for scene character recognition: A comprehensive evaluation
* Forgetting of unused classes in missing data environment using automatically generated data: Application to on-line handwritten gesture command recognition
* Fusing disparate object signatures for salient object detection in video
* Fuzzy generalized median graphs computation: Application to content-based document retrieval
* Gaze latent support vector machine for image classification improved by weakly supervised region selection
* Hand action detection from ego-centric depth sequences with error-correcting Hough transform
* Human action recognition in RGB-D videos using motion sequence information and deep learning
* Joint dictionary and metric learning for person re-identification
* Linear latent low dimensional space for online early action recognition and prediction
* Long range iris recognition: A survey
* Low-rank double dictionary learning from corrupted data for robust image classification
* Model-based co-clustering for the effective handling of sparse data
* Multi-modal deep feature learning for RGB-D object detection
* Multi-modal uniform deep learning for RGB-D person re-identification
* New binary linear programming formulation to compute the graph edit distance
* new Unsupervised Spectral Feature Selection Method for mixed data: A filter approach, A
* Online pruning of base classifiers for Dynamic Ensemble Selection
* Organizing egocentric videos of daily living activities
* Scalable lifelong reinforcement learning
* Semantic action recognition by learning a pose lexicon
* Sparse Relational Topical Coding on multi-modal data
* Sparse shared structure based multi-task learning for MRI based cognitive performance prediction of Alzheimer's disease
* Spike and slab biclustering
* survey of local feature methods for 3D face recognition, A
* Synthetic minority oversampling technique for multiclass imbalance problems
* Tracks selection for robust, efficient and scalable large-scale structure from motion
* Training Support Vector Machines with privacy-protected data
* Withdrawn: Adaptive correlation filters for robust object tracking
* Withdrawn: Incremental subspace and probability mask constrained tracking in smart and autonomous systems
* Withdrawn: Multimodal data analysis and integration for multi-slot spectrum auction based on Deep Feedforward Network
* Withdrawn: Through wall human detection under small samples based on deep learning algorithm
43 for PR(72)

PR(73) * Autoregressive forests for multivariate time series modeling
* B-Spline based globally optimal segmentation combining low-level and high-level information
* Comparative study of conventional time series matching techniques for word spotting
* Deep adaptive feature embedding with local sample distributions for person re-identification
* distribution density-based methodology for driving data cluster analysis: A case study for an extended-range electric city bus, A
* fast Branch-and-Bound algorithm for U-curve feature selection, A
* hybrid reproducing graph kernel based on information entropy, A
* Improved data visualisation through nonlinear dissimilarity modelling
* M-estimators for robust multidimensional scaling employing L2,1 norm regularization
* Mapping and localization from planar markers
* Multi-modal feature fusion for geographic image annotation
* Multi-view low-rank sparse subspace clustering
* On automated source selection for transfer learning in convolutional neural networks
* polynomial piecewise constant approximation method based on dual constraint relaxation for segmenting images with intensity inhomogeneity, A
* Recognition of feature curves on 3D shapes using an algebraic approach to Hough transforms
* Remote sensing image analysis by aggregation of segmentation-classification collaborative agents
* review of recent advances in lane detection and departure warning system, A
* Structured dictionary learning for abnormal event detection in crowded scenes
* User attribute discovery with missing labels
* User authorization based on hand geometry without special equipment
20 for PR(73)

PR(74) * Active garment recognition and target grasping point detection using deep learning
* Binarization of degraded document images based on hierarchical deep supervised network
* Clustering-based k-nearest neighbor classification for large-scale data with neural codes representation
* comparative evaluation of outlier detection algorithms: Experiments and analyses, A
* Deep ranking model by large adaptive margin learning for person re-identification
* Degraded document image binarization using structural symmetry of strokes
* Diffusion wavelet embedding: A multi-resolution approach for graph embedding in vector space
* Discriminative feature selection for on-line signature verification
* Equidistance constrained metric learning for person re-identification
* Face alignment recurrent network
* Gaussian field consensus: A robust nonparametric matching method for outlier rejection
* Gaussian mixture 3D morphable face model
* Graph-based bag-of-words for classification
* Hierarchical Gaussian Processes model for multi-task learning
* Hyperparameter selection of one-class support vector machine by self-adaptive data shifting
* IDNet: Smartphone-based gait recognition with convolutional neural networks
* Inference of a compact representation of sensor fingerprint for source camera identification
* Insights into the results of MICHE I: Mobile Iris CHallenge Evaluation
* knowledge based architecture for the virtual restoration of ancient photos, A
* Learning by coincidence: Siamese networks and common variable learning
* Learning representative exemplars using one-class Gaussian process regression
* Learning to refine depth for robust stereo estimation
* Least squares twin bounded support vector machines based on L1-norm distance metric for classification
* Multi-label feature selection with missing labels
* multi-objective optimization model and its evolution-based solutions for the fingertip localization problem, A
* Nonsmooth analysis and subgradient methods for averaging in dynamic time warping spaces
* Novel clustering method based on hybrid K-nearest-neighbor graph, A
* novel database for automatic processing of Persian handwritten bank checks, A
* Occlusion-aware depth estimation for light field using multi-orientation EPIs
* On the distinctiveness of the electricity load profile
* On-line fusion of trackers for single-object tracking
* Optimization of classifier chains via conditional likelihood maximization
* Probabilistic saliency estimation
* Random subspace based ensemble sparse representation
* Real-time nonparametric background subtraction with tracking-based foreground update
* Recovering variations in facial albedo from low resolution images
* Revisiting multiple instance neural networks
* Rotation invariants of vector fields from orthogonal moments
* Scene recognition with objectness
* Semi-automatic spline fitting of planar curvilinear profiles in digital images using the Hough transform
* Semi-supervised dimensionality reduction of hyperspectral imagery using pseudo-labels
* shapeDTW: Shape Dynamic Time Warping
* Simultaneous Segmentation and Bias Field Estimation Using Local Fitted Images
* Superpixel-based 3D deep neural networks for hyperspectral image classification
* survey on Visual-Based Localization: On the benefit of heterogeneous data, A
* Time-series averaging using constrained dynamic time warping with tolerance
46 for PR(74)

PR(75) * 3D neuron tip detection in volumetric microscopy images using an adaptive ray-shooting model
* Adaptive hash retrieval with kernel based similarity
* Collaborative discriminative multi-metric learning for facial expression recognition in video
* Collaborative multiview hashing
* Cross modal similarity learning with active queries
* Cross-view semantic projection learning for person re-identification
* Discriminative metric learning for multi-view graph partitioning
* Distance metric learning for pattern recognition
* Distance metric optimization driven convolutional neural network for age invariant face recognition
* Efficient multi-modal geometric mean metric learning
* Feedback mechanism based iterative metric learning for person re-identification
* Gestalt laws based tracklets analysis for human crowd understanding
* Learn to model blurry motion via directional similarity and filtering
* Learning local metrics from pairwise similarity data
* Learning Structured Ordinal Measures for Video Based Face Recognition
* Locality constraint distance metric learning for traffic congestion detection
* Multi-type attributes driven multi-camera person re-identification
* Multiple face tracking and recognition with identity-specific localized metric learning
* Nonlinear dictionary learning with application to image classification
* OPML: A one-pass closed-form solution for online metric learning
* Parametric Local Multiview Hamming Distance Metric Learning
* parasitic metric learning net for breast mass classification based on mammography, A
* Person re-identification via integrating patch-based metric learning and local salience learning
* Quantization-based hashing: a general framework for scalable image and video retrieval
* Robust discrete code modeling for supervised hashing
* Semi-supervised transfer subspace for domain adaptation
* Supervised deep hashing for scalable face image retrieval
* Topic driven multimodal similarity learning with multi-view voted convolutional features
* Unsupervised manifold learning through reciprocal kNN graph and Connected Components for image retrieval tasks
* Video-based kinship verification using distance metric learning
30 for PR(75)

PR(76) * Accumulating regional density dissimilarity for concept drift detection in data streams
* Accurate and efficient ground-to-aerial model alignment
* Age-invariant face recognition based on identity inference from appearance age
* Asymmetric learning vector quantization for efficient nearest neighbor classification in dynamic time warping spaces
* Atlas-based reconstruction of high performance brain MR data
* Bi-weighted ensemble via HMM-based approaches for temporal data clustering
* BRoPH: An efficient and compact binary descriptor for 3D point clouds
* Building forests of local trees
* Cancellable speech template via random binary orthogonal matrices projection hashing
* Color texture description with novel local binary patterns for effective image retrieval
* Compact MQDF classifiers using sparse coding for handwritten Chinese character recognition
* Concept decompositions for short text clustering by identifying word communities
* Convolutional neural network on three orthogonal planes for dynamic texture classification
* Convolutional Neural Networks and Long Short-Term Memory for skeleton-based human activity and hand gesture recognition
* deep convolutional neural network for video sequence background subtraction, A
* Deep Convolutional Neural Networks for mental load classification based on EEG data
* Deep self-paced learning for person re-identification
* Deep visual tracking: Review and experimental comparison
* Discriminative context learning with gated recurrent unit for group activity recognition
* DSRF: A flexible trajectory descriptor for articulated human action recognition
* framework for dynamic classifier selection oriented by the classification problem difficulty, A
* Hierarchical online NMF for detecting and tracking topic hierarchies in a text stream
* Illumination invariants in deep video expression recognition
* Independent component analysis by lp-norm optimization
* Infrared small-dim target detection based on Markov random field guided noise modeling
* Iterative image segmentation with feature driven heuristic four-color labeling
* Learning a referenceless stereopair quality engine with deep nonnegativity constrained sparse autoencoder
* Local Concave-and-Convex Micro-Structure Patterns for texture classification
* Low Rank Representation on SPD matrices with Log-Euclidean metric
* M3L: Multi-modality mining for metric learning in person re-Identification
* Mask-CNN: Localizing parts and selecting descriptors for fine-grained bird species categorization
* Material based salient object detection from hyperspectral images
* modified convolutional neural network for face sketch synthesis, A
* Motion analysis: Action detection, recognition and evaluation based on motion capture data
* novel localized and second order feature coding network for image recognition, A
* On the classification of dynamical data streams using novel Anti-Bayesian techniques
* partially observable hidden Markov model and its application to keystroke dynamics, The
* Product graph-based higher order contextual similarities for inexact subgraph matching
* Random sampling for fast face sketch synthesis
* Region-sequence based six-stream CNN features for general and fine-grained human action recognition in videos
* Regularized constraint subspace based method for image set classification
* Robust clustering using a kNN mode seeking ensemble
* Robust linear representation via exploiting structure prior
* rotationally invariant descriptor based on mixed intensity feature histograms, A
* Semi-supervised local multi-manifold Isomap by linear embedding for feature extraction
* Sketch-based image retrieval with deep visual semantic descriptor
* Sparse Support Matrix Machine
* Structural property-aware multilayer network embedding for latent factor analysis
* Time series cluster kernel for learning similarities between multivariate time series with missing data
* Trend representation based log-density regularization system for portfolio optimization
* TWCC: Automated Two-way Subspace Weighting Partitional Co-Clustering
* two-dimensional (2-D) learning framework for Particle Swarm based feature selection, A
* Virtual Dictionary Based Kernel Sparse Representation for Face Recognition
* Water flow driven salient object detection at 180 fps
* Weighted variational model for selective image segmentation with application to medical images
* What-and-where to match: Deep spatially multiplicative integration networks for person re-identification
* Withdrawn: Adaptive correlation filters for robust object tracking
* Withdrawn: Adaptive multiclass support vector machine for multimodal data analysis
* Withdrawn: Fast compressive tracking with robust example selection based on multiple instance learning in smart and autonomous systems
* Withdrawn: Incremental subspace and probability mask constrained tracking in smart and autonomous systems
* Withdrawn: Multimodal data analysis and integration for multi-slot spectrum auction based on Deep Feedforward Network
* Withdrawn: Through wall human detection under small samples based on deep learning algorithm
62 for PR(76)

PR(77) * Active multi-kernel domain adaptation for hyperspectral image classification
* adaptive graph learning method based on dual data representations for clustering, An
* All-in-focus with directional-max-gradient flow and labeled iterative depth propagation
* Classification by pairwise coupling of imprecise probabilities
* Classification of the emotional stress and physical stress using signal magnification and canonical correlation analysis
* Comment on 'Enhanced soft subspace clustering integrating within-cluster and between-cluster information' by Z. Deng et al. (Pattern Recognition, vol. 43, pp. 767-781, 2010)
* Comment on 'Joint sparse principal component analysis' by S. Yi et al. (Pattern Recognition, vol. 61, pp. 524-536, 2017)
* comment on 'Translation and scale invariants of Tchebichef moments' by Hong-Qing Zhu [Pattern Recognition 40 (2007) 2530-2542], A
* Deep Fisher discriminant learning for mobile hand gesture recognition
* Deep unsupervised learning with consistent inference of latent representations
* Discriminative binary feature learning and quantization in biometric key generation
* DropRegion training of inception font network for high-performance Chinese font recognition
* Environmental microorganism classification using conditional random fields and deep convolutional neural networks
* Error sensitivity analysis of Delta divergence-a novel measure for classifier incongruence detection
* Feature co-shrinking for co-clustering
* Feature selection method with joint maximal information entropy between features and class
* From one to many: Pose-Aware Metric Learning for single-sample face recognition
* hybrid framework for automatic joint detection of human poses in depth frames, A
* Incremental feature extraction based on decision boundaries
* JCLMM: A finite mixture model for clustering of circular-linear data and its application to psoriatic plaque segmentation
* Joint bilateral filtering and spectral similarity-based sparse representation: A generic framework for effective feature extraction and data classification in hyperspectral imaging
* large margin algorithm for automated segmentation of white matter hyperintensity, A
* Manifold constraint transfer for visual structure-driven optimization
* Multi-view multi-scale CNNs for lung nodule type classification from CT images
* Multiple instance learning: A survey of problem characteristics and applications
* new multiplicative watermark detector in the contourlet domain using t Location-Scale distribution, A
* new probabilistic classifier based on decomposable models with application to internet traffic, A
* Non-linear matrix completion
* On convergence and parameter selection of the EM and DA-EM algorithms for Gaussian mixtures
* Patterning of writing style evolution by means of dynamic similarity
* Recent advances in convolutional neural networks
* regularized ensemble framework of deep learning for cancer detection from multi-class, imbalanced training data, A
* Robust infrared small target detection using local steering kernel reconstruction
* Supervising topic models with Gaussian processes
* Tensor-based linear dynamical systems for action recognition from 3D skeletons
* Training neural network classifiers through Bayes risk minimization applying unidimensional Parzen windows
* variational approach to non-rigid image registration with Bregman divergences and multiple features, A
37 for PR(77)

PR(78) * context-sensitive deep learning approach for microcalcification detection in mammograms, A
* database of unconstrained Vietnamese online handwriting and recognition experiments by recurrent neural networks, A
* Deep unsupervised learning of visual similarities
* Disconnectedness: A new moment invariant for multi-component shapes
* Efficient dense labelling of human activity sequences from wearables using fully convolutional networks
* Expression robust 3D face landmarking using thresholded surface normals
* fingerprint and finger-vein based cancelable multi-biometric system, A
* Handwritten digit segmentation: Is it still necessary?
* improved online writer identification framework using codebook descriptors, An
* In-air handwritten Chinese character recognition with locality-sensitive sparse representation toward optimized prototype classifier
* Indefinite kernel spectral learning
* Infinite Bayesian one-class support vector machine based on Dirichlet process mixture clustering
* Integrating multi-level deep learning and concept ontology for large-scale visual recognition
* iterative possibilistic knowledge diffusion approach for blind medical image segmentation, An
* Local ensemble learning from imbalanced and noisy data for word sense disambiguation
* Multi-view manifold learning with locality alignment
* novel random forests based class incremental learning method for activity recognition, A
* Parameterized principal component analysis
* Pose-robust face recognition with Huffman-LBP enhanced by Divide-and-Rule strategy
* Revisiting graph construction for fast image segmentation
* Scalable image segmentation via decoupled sub-graph compression
* Self-tuning density estimation based on Bayesian averaging of adaptive kernel density estimations yields state-of-the-art performance
* Sparse Lq-norm least squares support vector machine with feature selection
* Super-resolution for biometrics: A comprehensive survey
* Supervised discrete discriminant hashing for image retrieval
* SVM based multi-label learning with missing labels for image annotation
* variance maximization criterion for active learning, A
27 for PR(78)

PR(79) * 3D gaze estimation without explicit personal calibration
* Articulated motion and deformable objects
* Automatic breast ultrasound image segmentation: A survey
* Automatic initialization of active contours and level set method in ultrasound images of breast abnormalities
* BAdaCost: Multi-class Boosting with Costs
* Class-specific mutual information variation for feature selection
* Cross-language framework for word recognition and spotting of Indic scripts
* Cross-Modal Discrete Hashing
* deeply supervised residual network for HEp-2 cell classification via cross-modal transfer learning, A
* Diffusive likelihood for interactive image segmentation
* ELM based smile detection using Distance Vector
* Fast deformable model-based human performance capture and FVV using consumer-grade RGB-D sensors
* Gaussian kernel c-means hard clustering algorithms with automated computation of the width hyper-parameters
* graph-based approach for detecting common actions in motion capture data and videos, A
* I-k-means-+: An iterative clustering algorithm based on an enhanced version of the k-means
* Joint medical image fusion, denoising and enhancement via discriminative low-rank sparse dictionaries learning
* L2,1-l1 regularized nonlinear multi-task representation learning based cognitive performance prediction of Alzheimer's disease
* Learning with rethinking: Recurrently improving convolutional neural networks through feedback
* Maximal granularity structure and generalized multi-view discriminant analysis for person re-identification
* Mean Partition Theorem in consensus clustering, The
* Median local ternary patterns optimized with rotation-invariant uniform-three mapping for noisy texture classification
* MIRSVM: Multi-instance support vector machine with bag representatives
* Mixture correntropy for robust learning
* Multi-stream CNN: Learning representations based on human-related regions for action recognition
* Off-line writer verification based on simple graphemes
* Passive-Aggressive online learning with nonlinear embeddings
* Pedestrian detection at night time in FIR domain: Comprehensive study about temperature and brightness and new benchmark
* Rasabodha: Understanding Indian classical dance by recognizing emotions using deep learning
* Reconstruction-based supervised hashing
* Self-learning for face clustering
* Shape registration with directional data
* Single image deraining via decorrelating the rain streaks and background scene in gradient domain
* survey and analysis on automatic image annotation, A
* Synergy of foreground-background images for feature extraction: Offline signature verification using Fisher vector with fused KAZE features
* Unsupervised image saliency detection with Gestalt-laws guided optimization and visual attention based refinement
35 for PR(79)

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