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