Pattern Recognition, Volume 87

Volume 87, March 2019

Handwriting and document analysis

• 
  Chris Tensmeyer, Tony R. Martinez:
  CONFIRM - Clustering of noisy form images using robust matching. 1-16

Machine learning

• 
  Ping Li, Songcan Chen:
  Gaussian process approach for metric learning. 17-28

Classifiers and classification

• 
  Ke Chen, Kui Jia, Heikki Huttunen, Jiri Matas, Joni-Kristian Kämäräinen:
  Cumulative attribute space regression for head pose estimation and color constancy. 29-37

Special Section on Advances in Representation Learning

• 
  Binjie Qin, Mingxin Jin, Dongdong Hao, Yisong Lv, Qiegen Liu, Yueqi Zhu, Song Ding, Jun Zhao, Baowei Fei:
  Accurate vessel extraction via tensor completion of background layer in X-ray coronary angiograms. 38-54

Kernel methods and manifold learning

• 
  Cem Ornek, Elif Vural:
  Nonlinear supervised dimensionality reduction via smooth regular embeddings. 55-66

Structural pattern recognition, network and graph methods

• 
  Montserrat Alvarado-González, Wendy Aguilar, Edgar Garduño, Carlos Velarde, Ernesto Bribiesca, Verónica Médina-Bañuelos:
  Mirror symmetry detection in curves represented by means of the Slope Chain Code. 67-79

Objects and image analysis

• 
  Boyu Chen, Peixia Li, Chong Sun, Dong Wang, Gang Yang, Huchuan Lu:
  Multi attention module for visual tracking. 80-93

Classifiers and classification

• 
  Xiaofeng Xie, Zhu Liang Yu, Zhenghui Gu, Yuanqing Li:
  Classification of symmetric positive definite matrices based on bilinear isometric Riemannian embedding. 94-105
• 
  Lina Wang, Yibo Xu, Liming Zhai, Yanzhen Ren, Bo Du:
  A posterior evaluation algorithm of steganalysis accuracy inspired by residual co-occurrence probability. 106-117

Objects and image analysis

• 
  Dinh Nguyen Van, Shijian Lu, Shangxuan Tian, Nizar Ouarti, Mounir Mokhtari:
  A pooling based scene text proposal technique for scene text reading in the wild. 118-129
• 
  Kebin Wu, David Zhang, Guangming Lu, Zhenhua Guo:
  Joint learning for voice based disease detection. 130-139

Machine learning

• 
  Jian Chen, Lan Du, Hua He, Yuchen Guo:
  Convolutional factor analysis model with application to radar automatic target recognition. 140-156
• 
  Fatmatülzehra Uslu, Anil Anthony Bharath:
  A recursive Bayesian approach to describe retinal vasculature geometry. 157-169

Various applications

• 
  Federico Bartoli, Giuseppe Lisanti, Svebor Karaman, Alberto Del Bimbo:
  Scene-dependent proposals for efficient person detection. 170-178

Special Section on Advances in Representation Learning

• 
  Shiqi Yu, Rijun Liao, Weizhi An, Haifeng Chen, Edel B. García Reyes, Yongzhen Huang, Norman Poh:
  GaitGANv2: Invariant gait feature extraction using generative adversarial networks. 179-189

Clustering

• 
  Emmanouil K. Ikonomakis, George M. Spyrou, Michael N. Vrahatis:
  Content driven clustering algorithm combining density and distance functions. 190-202

Structural pattern recognition, network and graph methods

• 
  Donniell E. Fishkind, Sancar Adali, Heather G. Patsolic, Lingyao Meng, Digvijay Singh, Vince Lyzinski, Carey E. Priebe:
  Seeded graph matching. 203-215

Objects and image analysis

• 
  Peng Liu, Chang Liu, Wei Zhao, Xianglong Tang:
  Multi-level context-adaptive correlation tracking. 216-225

Machine learning

• 
  Kelum Gajamannage, Randy C. Paffenroth, Erik M. Bollt:
  A nonlinear dimensionality reduction framework using smooth geodesics. 226-236

Special Section on Advances in Representation Learning

• 
  Lunke Fei, Bob Zhang, Yong Xu, Wei Jia, Jie Wen, Jigang Wu:
  Precision direction and compact surface type representation for 3D palmprint identification. 237-247

Classifiers and classification

• 
  Alberto Cano, Bartosz Krawczyk:
  Evolving rule-based classifiers with genetic programming on GPUs for drifting data streams. 248-268

Machine learning

• 
  Chi Liu, Heng-Chao Li, Kun Fu, Fan Zhang, Mihai Datcu, William J. Emery:
  Bayesian estimation of generalized Gamma mixture model based on variational EM algorithm. 269-284

Structural pattern recognition, network and graph methods

• 
  Jiong Li, Hang Zhang, Pengfei Wang:
  Blind separation of temporally correlated noncircular sources using complex matrix joint diagonalization. 285-295

Classifiers and classification

• 
  Jianwen Tao, Di Zhou, Fangyu Liu, Bin Zhu:
  Latent multi-feature co-regression for visual recognition by discriminatively leveraging multi-source models. 296-316

Features

• 
  Woo-Hyuck Song, Honggyu Jung, In-Youb Gwak, Seong-Whan Lee:
  Oblique aerial image matching based on iterative simulation and homography evaluation. 317-331

Objects and image analysis

• 
  Jimin Xiao, Yanchun Xie, Tammam Tillo, Kaizhu Huang, Yunchao Wei, Jiashi Feng:
  IAN: The Individual Aggregation Network for Person Search. 332-340