Pattern Recognition, Volume 94

Volume 94, October 2019

Human movements and activities

• 
  Bangli Liu, Haibin Cai, Zhaojie Ju, Honghai Liu:
  RGB-D sensing based human action and interaction analysis: A survey. 1-12

Machine learning

• 
  Angshuman Paul, Dipti Prasad Mukherjee:
  Reinforced quasi-random forest. 13-24

Special Section on Advances in Representation Learning

• 
  Hefeng Wu, Yafei Hu, Keze Wang, Hanhui Li, Lin Nie, Hui Cheng:
  Instance-aware representation learning and association for online multi-person tracking. 25-34

Machine learning

• 
  Brijnesh J. Jain:
  Making the dynamic time warping distance warping-invariant. 35-52

Various applications

• 
  Hao Luo, Wei Jiang, Xuan Zhang, Xing Fan, Jingjing Qian, Chi Zhang:
  AlignedReID++: Dynamically matching local information for person re-identification. 53-61

Objects and image analysis

• 
  Carola Figueroa Flores, Abel Gonzalez-Garcia, Joost van de Weijer, Bogdan Raducanu:
  Saliency for fine-grained object recognition in domains with scarce training data. 62-73
• 
  Yongqiang Zhang, Mingli Ding, Yancheng Bai, Bernard Ghanem:
  Detecting small faces in the wild based on generative adversarial network and contextual information. 74-86

Special Section on Bio/neuroscience Pattern Recognition

• 
  Milad Mozafari, Mohammad Ganjtabesh, Abbas Nowzari-Dalini, Simon J. Thorpe, Timothée Masquelier:
  Bio-inspired digit recognition using reward-modulated spike-timing-dependent plasticity in deep convolutional networks. 87-95

Machine learning

• 
  Xu Yu, Feng Jiang, Junwei Du, Dunwei Gong:
  A cross-domain collaborative filtering algorithm with expanding user and item features via the latent factor space of auxiliary domains. 96-109

Face and biometrics

• 
  Xiao Hu, Peirong Ma, Zhuohao Mai, Shao-Hu Peng, Zhao Yang, Li Wang:
  Face hallucination from low quality images using definition-scalable inference. 110-121

Handwriting and document analysis

• 
  Joan-Andreu Sánchez, Verónica Romero, Alejandro H. Toselli, Mauricio Villegas, Enrique Vidal:
  A set of benchmarks for Handwritten Text Recognition on historical documents. 122-134

Structural pattern recognition, network and graph methods

• 
  Shan Xue, Jie Lu, Guangquan Zhang:
  Cross-domain network representations. 135-148

Handwriting and document analysis

• 
  Moisés Pastor:
  Text baseline detection, a single page trained system. 149-161

Clustering

• 
  Nathalie Barbosa Roa, Louise Travé-Massuyès, Victor Hugo Grisales:
  DyClee: Dynamic clustering for tracking evolving environments. 162-186

Face and biometrics

• 
  Zhaoju Li, Zhenjun Han, Junliang Xing, Qixiang Ye, Xuehui Yu, Jianbin Jiao:
  High performance person re-identification via a boosting ranking ensemble. 187-195
• 
  Yujia Wang, Wei Liang, Jianbing Shen, Yunde Jia, Lap-Fai Yu:
  A deep Coarse-to-Fine network for head pose estimation from synthetic data. 196-206

Machine learning

• 
  Diangang Li, Yihong Gong, De Cheng, Weiwei Shi, Xiaoyu Tao, Xinyuan Chang:
  Consistency-Preserving deep hashing for fast person re-identification. 207-217

Classifiers and classification

• 
  Min Cao, Chen Chen, Xiyuan Hu, Silong Peng:
  Towards fast and kernelized orthogonal discriminant analysis on person re-identification. 218-229

Objects and image analysis

• 
  Vladimir I. Ivanov, John S. Baras:
  Authentication of area fingerprint scanners. 230-249

Corrigendum

• 
  Yabei Li, Zhang Zhang, Yanhua Cheng, Liang Wang, Tieniu Tan:
  Corrigendum to "MAPNet: Multi-modal attentive pooling network for RGB-D indoor scene classification" [Pattern Recognition 90 (2019) 436-449]. 250