Pattern Recognition, Volume 95

Volume 95, November 2019

Classifiers and classification

• 
  Xinying Pang, Xianli Pan, Yitian Xu:
  Multi-parameter safe sample elimination rule for accelerating nonlinear multi-class support vector machines. 1-11

Special Section on Advances in Representation Learning

• 
  Gaurav Bhatt, Piyush Jha, Balasubramanian Raman:
  Representation learning using step-based deep multi-modal autoencoders. 12-23

Classifiers and classification

• 
  Jiancheng Sun, Yong Yang, Yanqing Liu, Chunlin Chen, Wenyuan Rao, Yaohui Bai:
  Univariate time series classification using information geometry. 24-35

Clustering

• 
  Nuha Zamzami, Nizar Bouguila:
  A Novel Scaled dirichlet-based statistical framework for count data modeling: Unsupervised learning and exponential approximation. 36-47

Face and biometrics

• 
  Sheng Lan, Zhenhua Guo, Jane You:
  A non-rigid registration method with application to distorted fingerprint matching. 48-57

Clustering

• 
  Dipanjyoti Paul, Sriparna Saha, Jimson Mathew:
  Fusion of evolvable genome structure and multi-objective optimization for subspace clustering. 58-71

Features

• 
  Ping Zhang, Guixia Liu, Wanfu Gao:
  Distinguishing two types of labels for multi-label feature selection. 72-82

Special Section on Bio/neuroscience Pattern Recognition

• 
  Kuldeep Kumar, Kaleem Siddiqi, Christian Desrosiers:
  White matter fiber analysis using kernel dictionary learning and sparsity priors. 83-95

Machine learning

• 
  Tien Thanh Nguyen, Manh Truong Dang, Anh Vu Luong, Alan Wee-Chung Liew, Tiancai Liang, John McCall:
  Multi-label classification via incremental clustering on an evolving data stream. 96-113

Objects and image analysis

• 
  Meng Zhou, Xianhua Zeng, Aozhu Chen:
  Deep forest hashing for image retrieval. 114-127

Features

• 
  Mohammad Jalilpour-Monesi, Sepideh Hajipour Sardouie:
  Extended common spatial and temporal pattern (ECSTP): A semi-blind approach to extract features in ERP detection. 128-135
• 
  Jia Zhang, Zhiming Luo, Candong Li, Changen Zhou, Shaozi Li:
  Manifold regularized discriminative feature selection for multi-label learning. 136-150

Classifiers and classification

• 
  Yutian Lin, Liang Zheng, Zhedong Zheng, Yu Wu, Zhilan Hu, Chenggang Yan, Yi Yang:
  Improving person re-identification by attribute and identity learning. 151-161

Objects and image analysis

• 
  Guillaume Tochon, Mauro Dalla Mura, Miguel Angel Veganzones, Thierry Géraud, Jocelyn Chanussot:
  Braids of partitions for the hierarchical representation and segmentation of multimodal images. 162-172

Kernel methods and manifold learning

• 
  Tejas Indulal Dhamecha, Afzel Noore, Richa Singh, Mayank Vatsa:
  Between-subclass piece-wise linear solutions in large scale kernel SVM learning. 173-190

Machine learning

• 
  Myungjun Kim, Dong-Gi Lee, Hyunjung Shin:
  Semi-supervised learning for hierarchically structured networks. 191-200
• 
  Ying Tang:
  Two-hop walks indicate PageRank order. 201-210
• 
  Xiaoke Zhu, Xiao-Yuan Jing, Fan Zhang, Xinyu Zhang, Xinge You, Xiang Cui:
  Distance learning by mining hard and easy negative samples for person re-identification. 211-222

Structural pattern recognition, network and graph methods

• 
  Yuan Zhu, Jiufeng Zhou, Hong Yan:
  A unified formulation of a class of graph matching techniques. 223-234

Clustering

• 
  Sandro Cumani, Pietro Laface:
  Exact memory-constrained UPGMA for large scale speaker clustering. 235-246

Objects and image analysis

• 
  Ernesto Bribiesca:
  The spirals of the Slope Chain Code. 247-260

Clustering

• 
  Yao Sui, Guanghui Wang, Li Zhang:
  Sparse subspace clustering via Low-Rank structure propagation. 261-271

Classifiers and classification

• 
  Bin Zhao, Lulu Hua, Xuelong Li, Xiaoqiang Lu, Zhigang Wang:
  Weather recognition via classification labels and weather-cue maps. 272-284

Structural pattern recognition, network and graph methods

• 
  Fadi Dornaika, Libo Weng:
  Sparse graphs with smoothness constraints: Application to dimensionality reduction and semi-supervised classification. 285-295
• 
  Michalis Angelou, Vassilis Solachidis, Nicholas Vretos, Petros Daras:
  Graph-based multimodal fusion with metric learning for multimodal classification. 296-307
• 
  Qi Zhang, Jianlong Chang, Gaofeng Meng, Shibiao Xu, Shiming Xiang, Chunhong Pan:
  Learning graph structure via graph convolutional networks. 308-318