Journals starting with sssp

SSSPR00 * Local Discriminant Regions Using Support Vector Machines for Object Recognition

SSSPR12 * *Structural, Syntactic, and Statistical Pattern Recognition
* 2D Shapes Classification Using BLAST
* 3D Shape Classification Using Commute Time
* Active Graph Matching Based on Pairwise Probabilities between Nodes
* Alignment and Morphing for the Boundary Curves of Anatomical Organs
* Analysis of Co-training Algorithm with Very Small Training Sets
* Approximate Axial Symmetries from Continuous Time Quantum Walks
* Automatic Dimensionality Estimation for Manifold Learning through Optimal Feature Selection
* Bidirectional Language Model for Handwriting Recognition
* Binary Gabor Statistical Features for Palmprint Template Protection
* Change-Point Detection in Time-Series Data by Relative Density-Ratio Estimation
* Class Centric Feature and Classifier Ensemble Selection Approach for Music Genre Classification, A
* Class-Dependent Dissimilarity Measures for Multiple Instance Learning
* Classification of High-Dimension PDFs Using the Hungarian Algorithm
* Clustering-Based Ensemble Technique for Shape Decomposition, A
* Colour Matching Function Learning
* Compact Form of the Pseudo-Inverse Matrix in the Approximation of a Star Graph Using the Conductance Electrical Model (CEM)
* Comparative Analysis of Forgery Detection Algorithms, A
* Comparison between Structural and Embedding Methods for Graph Classification, A
* Complexity of Computing Distances between Geometric Trees
* Conditional Random Fields for Land Use/Land Cover Classification and Complex Region Detection
* Conditional Variance of Differences: A Robust Similarity Measure for Matching and Registration
* Constrained Log-Likelihood-Based Semi-supervised Linear Discriminant Analysis
* Dipping Phenomenon, The
* Discrete Scale Space Neighborhood for Robust Deep Structure Extraction, A
* Dynamic Learning of SCRF for Feature Selection and Classification of Hyperspectral Imagery
* Entropic Selection of Histogram Features for Efficient Classification
* Estimating Surface Characteristics and Extracting Features from Polarisation
* Estimation, Learning, and Adaptation: Systems That Improve with Use
* Evolutionary Weighted Mean Based Framework for Generalized Median Computation with Application to Strings
* Extended Analyses for an Optimal Kernel in a Class of Kernels with an Invariant Metric
* Extended Fisher Criterion Based on Auto-correlation Matrix Information
* Face Recognition Using Multilinear Manifold Analysis of Local Descriptors
* Feature Selection Using Counting Grids: Application to Microarray Data
* Genetic Inspired Optimization for ECOC, A
* Graph Complexity from the Jensen-Shannon Divergence
* Graph Database Retrieval Based on Metric-Trees
* Graph Kernels: Crossing Information from Different Patterns Using Graph Edit Distance
* Heat Flow-Thermodynamic Depth Complexity in Directed Networks
* Heuristic Based on the Intrinsic Dimensionality for Reducing the Number of Cyclic DTW Comparisons in Shape Classification and Retrieval Using AESA, A
* Hierarchical Compositional Representations of Object Structure
* Hierarchical Graph Representation for Symbol Spotting in Graphical Document Images
* Hierarchical Image Segmentation Algorithm Based on an Observation Scale, A
* Human Action Recognition in Video by Fusion of Structural and Spatio-temporal Features
* Hypergraph Spectra for Unsupervised Feature Selection
* Implicit and Explicit Graph Embedding: Comparison of Both Approaches on Chemoinformatics Applications
* Improving Fuzzy Multilevel Graph Embedding through Feature Selection Technique
* Incremental Structured Part Model for Image Classification, An
* Infinite Sparse Factor Analysis for Blind Source Separation in Reverberant Environments
* Information Theoretic Prototype Selection for Unattributed Graphs
* Jensen-Shannon Kernel for Hypergraphs, A
* Laplacian Eigenimages in Discrete Scale Space
* Large Scale Experiments on Fingerprint Liveness Detection
* Learning Sparse Kernel Classifiers in the Primal
* Local Adaptation of the Histogram Radon Transform Descriptor: An Application to a Shoe Print Dataset, A
* Low Training Strength High Capacity Classifiers for Accurate Ensembles Using Walsh Coefficients
* Mode Seeking Clustering by KNN and Mean Shift Evaluated
* Modeling Spoken Dialog Systems under the Interactive Pattern Recognition Framework
* Modified Divergences for Gaussian Densities
* Multiple Classifier System for Classification of Breast Lesions Using Dynamic and Morphological Features in DCE-MRI, A
* New Index Based on Sparsity Measures for Comparing Fuzzy Partitions, A
* New Random Forest Method for One-Class Classification, A
* Novel Gabor-PHOG Features for Object and Scene Image Classification
* Novel Shadow-Assistant Human Fall Detection Scheme Using a Cascade of SVM Classifiers, A
* On the Correlation of Graph Edit Distance and L1 Distance in the Attribute Statistics Embedding Space
* On the Relation between the Common Labelling and the Median Graph
* One-Sided Prototype Selection on Class Imbalanced Dissimilarity Matrices
* Online Metric Learning Methods Using Soft Margins and Least Squares Formulations
* Optimization Techniques for Geometric Estimation: Beyond Minimization
* Out-of-Sample Embedding by Sparse Representation
* Poisoning Adaptive Biometric Systems
* Polichotomies on Imbalanced Domains by One-per-Class Compensated Reconstruction Rule
* Recognition of Long-Term Behaviors by Parsing Sequences of Short-Term Actions with a Stochastic Regular Grammar
* Relational Kernel-Based Framework for Hierarchical Image Understanding, A
* Shape Analysis Using the Edge-Based Laplacian
* Shape Similarity Based on a Treelet Kernel with Edition
* Simultaneous Learning of Localized Multiple Kernels and Classifier with Weighted Regularization
* Sparse Discriminant Analysis Based on the Bayesian Posterior Probability Obtained by L1 Regression
* Support Vector Machines Training Data Selection Using a Genetic Algorithm
* Top-Down Tracking and Estimating 3D Pose of a Die
* Unified View of Two-Dimensional Principal Component Analyses, A
* Unsupervised Clustering of Human Pose Using Spectral Embedding
* Validation of Network Classifiers
83 for SSSPR12

SSSPR14 * *Structural, Syntactic, and Statistical Pattern Recognition
* About Combining Metric Learning and Prototype Generation
* Analyses on Generalization Error of Ensemble Kernel Regressors
* Approximate Graph Edit Distance Guided by Bipartite Matching of Bags of Walks
* Balanced K-Means for Clustering
* Binary Factor Graph Model for Biclustering, A
* Chemical Symbol Feature Set for Handwritten Chemical Symbol Recognition
* Commute Time for a Gaussian Wave Packet on a Graph
* Comparison of Categorical Attribute Data Clustering Methods, A
* Designing LDPC Codes for ECOC Classification Systems
* Edit Distance Computed by Fast Bipartite Graph Matching
* Entropic Graph Embedding via Multivariate Degree Distributions
* Evaluating Classification Performance with only Positive and Unlabeled Samples
* Fast Gradient Computation for Learning with Tensor Product Kernels and Sparse Training Labels
* Flip-Flop Sublinear Models for Graphs
* Graph Kernel from the Depth-Based Representation, A
* Hausdorff Heuristic for Efficient Computation of Graph Edit Distance, A
* Improved BLSTM Neural Networks for Recognition of On-Line Bangla Complex Words
* Improved Object Matching Using Structural Relations
* Improving Approximate Graph Edit Distance Using Genetic Algorithms
* Incorporating Molecule's Stereisomerism within the Machine Learning Framework
* Information Theoretic Feature Selection in Multi-label Data through Composite Likelihood
* IOWA Operators and Its Application to Image Retrieval
* Majority Vote of Diverse Classifiers for Late Fusion
* Matching Similarity for Keyword-Based Clustering
* Max-Correlation Embedding Computation
* Metric Learning in Dissimilarity Space for Improved Nearest Neighbor Performance
* Node Centrality for Continuous-Time Quantum Walks
* Nonlinear Discriminant Analysis Based on Probability Estimation by Gaussian Mixture Model
* On Cross-Validation for MLP Model Evaluation
* On Optimum Thresholding of Multivariate Change Detectors
* On Parallel Lines in Noisy Forms
* Poisoning Complete-Linkage Hierarchical Clustering
* Properties of Object-Level Cross-Validation Schemes for Symmetric Pair-Input Data
* Quantum vs. Classical Ranking in Segment Grouping
* Ranking Part Model for Object Detection, A
* Regular Decomposition of Multivariate Time Series and Other Matrices
* Remove Noise in Video with 3D Topological Maps
* Statistical Method for Semantic Segmentation of Dominant Plane from Remote Exploration Image Sequence
* Structural Human Shape Analysis for Modeling and Recognition
* Texture Synthesis: From Convolutional RBMs to Efficient Deterministic Algorithms
* Towards Scalable Prototype Selection by Genetic Algorithms with Fast Criteria
* Tracking System with Re-identification Using a RGB String Kernel
* Transitive State Alignment for the Quantum Jensen-Shannon Kernel
* Unifying Probabilistic Linear Discriminant Analysis Variants in Biometric Authentication
* Video Analysis of a Snooker Footage Based on a Kinematic Model
* Weighted Mean Assignment of a Pair of Correspondences Using Optimisation Functions
* Who Is Missing? A New Pattern Recognition Puzzle
48 for SSSPR14

SSSPR16 * *Structural, Syntactic, and Statistical Pattern Recognition
* Adaptive Sparse Bayesian Regression with Variational Inference for Parameter Estimation
* Approximating Graph Edit Distance Using GNCCP
* Average Mixing Matrix Signature, The
* Bilingual Data Selection Using a Continuous Vector-Space Representation
* Classification of Volumetric Data Using Multiway Data Analysis
* Commute Times in Dense Graphs
* Correlation Network Evolution Using Mean Reversion Autoregression
* Detecting Ellipses in Elongated Shapes Using the Thickness Profile
* Dirichlet Graph Densifiers
* Edge Centrality via the Holevo Quantity
* Enriched Bag of Words for Protein Remote Homology Detection
* Entity Extraction and Correction Based on Token Structure Model Generation
* Exact Graph Edit Distance Computation Using a Binary Linear Program
* fMRI Activation Network Analysis Using Bose-Einstein Entropy
* Forensic Analysis of Manuscript Authorship: An Optimized Computational Approach Based on Texture Descriptors
* Generalised Median of a Set of Correspondences Based on the Hamming Distance
* Generalizing Centroid Index to Different Clustering Models
* Gesture Input for GPS Route Search
* GPS Trajectory Biometrics: From Where You Were to How You Move
* Graph Edit Distance or Graph Edit Pseudo-Distance?
* Graph Entropy from Closed Walk and Cycle Functionals
* Graph Repository for Learning Error-Tolerant Graph Matching, A
* Graph-Based Keyword Spotting in Historical Handwritten Documents
* GriMa: A Grid Mining Algorithm for Bag-of-Grid-Based Classification
* Handwritten Word Image Categorization with Convolutional Neural Networks and Spatial Pyramid Pooling
* Improved Prototype Embedding Based Generalized Median Computation by Means of Refined Reconstruction Methods
* Information Theoretic Rotationwise Robust Binary Descriptor Learning
* Jensen-Shannon Divergence Kernel for Directed Graphs, A
* Least-Squares Regression with Unitary Constraints for Network Behaviour Classification
* Local Binary Pattern for Word Spotting in Handwritten Historical Document
* Markov-Gibbs Texture Modelling with Learnt Freeform Filters
* Mathematical Aspects of Tensor Subspace Method
* Multi-Stage Approach for Fast Person Re-identification, A
* Multiple Structure Recovery via Probabilistic Biclustering
* Novel Graph Database for Handwritten Word Images, A
* On Security and Sparsity of Linear Classifiers for Adversarial Settings
* On the Relevance of Local Neighbourhoods for Greedy Graph Edit Distance
* Outlier Robust Geodesic K-means Algorithm for High Dimensional Data
* P2P Lending Analysis Using the Most Relevant Graph-Based Features
* Peaking Phenomenon in Semi-supervised Learning, The
* Semantic Segmentation via Multi-task, Multi-domain Learning
* Sequential Labeling with Structural SVM Under an Average Precision Loss
* Shape Normalizing and Tracking Dancing Worms
* Similarity Between Dissimilarities, The
* Simultaneous Nonlinear Label-Instance Embedding for Multi-label Classification
* Thermodynamic Characterization of Temporal Networks
* Thermodynamic Network Analysis with Quantum Spin Statistics
* Unsupervised Interpretable Pattern Discovery in Time Series Using Autoencoders
* Unsupervised Parameter Estimation of Non Linear Scaling for Improved Classification in the Dissimilarity Space
* Walker-Independent Features for Gait Recognition from Motion Capture Data
* XNN Graph
52 for SSSPR16

SSSPR18 * *Structural, Syntactic, and Statistical Pattern Recognition
* Analyzing Time Series from Chinese Financial Market Using a Linear-Time Graph Kernel
* Approximating GED Using a Stochastic Generator and Multistart IPFP
* Bags of Graphs for Human Action Recognition
* Categorization of RNA Molecules Using Graph Methods
* Context Free Band Reduction Using a Convolutional Neural Network
* Cross-Model Retrieval with Reconstruct Hashing
* Deep Homography Estimation with Pairwise Invertibility Constraint
* Deep Neural Network Architecture to Estimate Node Assignment Costs for the Graph Edit Distance, A
* Deep Supervised Hashing with Information Loss
* Directed Network Analysis Using Transfer Entropy Component Analysis
* Dirichlet Densifiers: Beyond Constraining the Spectral Gap
* Dynamic Voting in Multi-view Learning for Radiomics Applications
* Efficient Method for Boundary Detection from Hyperspectral Imagery, An
* Error-Tolerant Geometric Graph Similarity
* Few-Example Affine Invariant Ear Detection in the Wild
* Gradient Descent for Gaussian Processes Variance Reduction
* Graph Edit Distance in the Exact Context
* Graph Time Series Analysis Using Transfer Entropy
* Image Annotation Using a Semantic Hierarchy
* Image-Based Representation for Graph Classification, An
* Iterative Deep Subspace Clustering
* Learning Cost Functions for Graph Matching
* Learning Deep Embeddings via Margin-Based Discriminate Loss
* Learning the Sub-optimal Graph Edit Distance Edit Costs Based on an Embedded Model
* Line Voronoi Diagrams Using Elliptical Distances
* Local Binary Patterns Based on Subspace Representation of Image Patch for Face Recognition
* Local Patterns and Supergraph for Chemical Graph Classification with Convolutional Networks
* Malignant Brain Tumor Classification Using the Random Forest Method
* Matrix Regression-Based Classification for Face Recognition
* Mixed Entropy Local-Global Reproducing Kernel for Attributed Graphs, A
* Modelling the Generalised Median Correspondence Through an Edit Distance
* Offline Signature Verification by Combining Graph Edit Distance and Triplet Networks
* On Association Graph Techniques for Hypergraph Matching
* On Fast Sample Preselection for Speeding up Convolutional Neural Network Training
* Plenoptic Imaging for Seeing Through Turbulence
* Preliminary Survey of Analyzing Dynamic Time-Varying Financial Networks Using Graph Kernels, A
* Protein Remote Homology Detection Using Dissimilarity-Based Multiple Instance Learning
* Quantum Edge Entropy for Alzheimer's Disease Analysis
* Ring Based Approximation of Graph Edit Distance
* Rotationally Invariant Bark Recognition
* Scalable Spectral Clustering Algorithm Based on Landmark-Embedding and Cosine Similarity, A
* Semi-supervised Clustering Framework Based on Active Learning for Real Data
* Single Image Super Resolution via Neighbor Reconstruction
* Sparsification of Indefinite Learning Models
* Supervised Classification Using Feature Space Partitioning
* UAV First View Landmark Localization via Deep Reinforcement Learning
* VF3-Light Subgraph Isomorphism Algorithm: When Doing Less Is More Effective, The
* Visual Tracking via Patch-Based Absorbing Markov Chain
* Weighted Local Mutual Information for 2D-3D Registration in Vascular Interventions
50 for SSSPR18

SSSPR22 * *Structural, Syntactic, and Statistical Pattern Recognition
* Annotation-Free Keyword Spotting in Historical Vietnamese Manuscripts Using Graph Matching
* Autoencoding Method for Detecting Counterfeit Coins, An
* Capsule Network for Hierarchical Multi-label Image Classification, A
* Classifying Me Softly: A Novel Graph Neural Network Based on Features Soft-Alignment
* Data Augmentation on Graphs for Table Type Classification
* Discovering Respects for Visual Similarity
* Distributed Decision Trees
* Efficient Leave-One-Out Evaluation of Kernelized Implicit Mappings
* Fast Distance Transforms in Graphs and in Gmaps
* Graph Reduction Neural Networks for Structural Pattern Recognition
* Graph Regression Based on Graph Autoencoders
* Graph Similarity Using Tree Edit Distance
* Human Description in the Wild: Description of the Scene with Ensembles of AI Models
* Improved Training for 3D Point Cloud Classification
* Interactive Generalized Dirichlet Mixture Allocation Model
* Learning Distances Between Graph Nodes and Edges
* Maximal Independent Vertex Set Applied to Graph Pooling
* Monte Carlo Dropout for Uncertainty Analysis and ECG Trace Image Classification
* New Preprocessing Method for Measuring Image Visual Quality Robust to Rotation and Spatial Shifts, A
* Novel Graph Kernel Based on the Wasserstein Distance and Spectral Signatures, A
* On the Importance of Temporal Features in Domain Adaptation Methods for Action Recognition
* One-Against-All Halfplane Dichotomies
* Realization of Autoencoders by Kernel Methods
* Refining AttnGAN Using Attention on Attention Network
* Retargeted Regression Methods for Multi-label Learning
* Review of Handwriting Analysis for Predicting Personality Traits
* Self-supervised Out-of-Distribution Detection with Dynamic Latent Scale GAN
* Sentiment Analysis from User Reviews Using a Hybrid Generative-Discriminative HMM-SVM Approach
* Spatio-Temporal United Memory for Video Anomaly Detection
* Tarragona Graph Database for Machine Learning Based on Graphs
* Transformer with Spatio-Temporal Representation for Video Anomaly Detection
* Zero-Error Digitisation and Contextualisation of Piping and Instrumentation Diagrams Using Node Classification and Sub-graph Search
33 for SSSPR22

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