Evaluating supervised classification methods: error rate, ROC curves, and beyond

A Graph Kernel from the Depth-Based Representation

Incorporating molecule's stereisomerism within the machine learning framework

Transitive State Alignment for the Quantum Jensen-Shannon Kernel

Balanced K-means for Clustering

Poisoning complete-linkage hierarchical clustering

A Comparison of Categorical Attribute Data Clustering Methods

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

Flip-Flop Sublinear Models for Graphs

Node Centrality for Continuous-Time Quantum Walks

Max-Correlation Embedding Computation

Fast Gradient Computation for Learning with Tensor Product Kernels and Sparse Training Labels

Comparison between Supervised and Unsupervised Learning of Probabilistic Linear Discriminant Analysis Mixture Models for Speaker Verification

Nonlinear Discriminant Analysis based on Probability Estimation by Gaussian Mixture Model

Information theoretic feature selection in multi-label data through composite likelihood

Majority Vote of Diverse Classifiers for Late Fusion

Information-theoretic selection of high-dimensional spectral features for structural recognition

Entropic Graph Embedding via Multivariate Degree Distributions

On parallel lines in noisy forms

Metric learning in dissimilarity space for improved nearest neighbor performance

Improving distance based image retrieval using non-dominated sorting genetic algorithm

Matching similarity for Keyword-Based Clustering

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 Modelling 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

An Empirical Study 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 Classfication Systems

Unifying Probabilistic Linear Discriminant Analysis Variants in Biometric Authentication

The active geometric shape model: A new robust deformable shape model and its applications

Multi-label learning under feature extraction budgets

Approximation of hard combinatorial problems via embedding to hierarchically separated trees

Quantum vs Classical Ranking in Segment Grouping

Remove noise in video with 3D topological maps

Video analysis of a snooker footage based on kinematic model

Evaluating classification performance with only positive and unlabeled samples

Semi-Supervised Nearest Mean Classification through a Constrained Log-Likelihood

Who is missing? A New Pattern Recognition Puzzle