Pattern Recognition（PR ）的VOLUME 95论文列表

卷期号： Volume 95

发布时间： November 2019

卷期年份： 2019

卷期官网： https://www.sciencedirect.com/journal/pattern-recognition/vol/95/suppl/C

Editorial Board

A non-rigid registration method with application to distorted fingerprint matching

Distinguishing two types of labels for multi-label feature selection

Extended common spatial and temporal pattern (ECSTP): A semi-blind approach to extract features in ERP detection

Manifold regularized discriminative feature selection for multi-label learning

A Novel Scaled dirichlet-based statistical framework for count data modeling: Unsupervised learning and exponential approximation

Fusion of evolvable genome structure and multi-objective optimization for subspace clustering

Exact memory–constrained UPGMA for large scale speaker clustering

Sparse subspace clustering via Low-Rank structure propagation

Multi-parameter safe sample elimination rule for accelerating nonlinear multi-class support vector machines

Univariate time series classification using information geometry

Improving person re-identification by attribute and identity learning

Weather recognition via classification labels and weather-cue maps

Deep forest hashing for image retrieval

Braids of partitions for the hierarchical representation and segmentation of multimodal images

The spirals of the Slope Chain Code

Multi-label classification via incremental clustering on an evolving data stream

Semi-supervised learning for hierarchically structured networks

Two-hop walks indicate PageRank order

Distance learning by mining hard and easy negative samples for person re-identification

Between-subclass piece-wise linear solutions in large scale kernel SVM learning

A unified formulation of a class of graph matching techniques

Sparse graphs with smoothness constraints: Application to dimensionality reduction and semi-supervised classification

Graph-based multimodal fusion with metric learning for multimodal classification

Learning graph structure via graph convolutional networks

Representation learning using step-based deep multi-modal autoencoders

White matter fiber analysis using kernel dictionary learning and sparsity priors