Pattern Recognition, Volume 84

Volume 84, December 2018

Classifiers and classification

• 
  Zhiji Yang, Yitian Xu:
  A safe sample screening rule for Laplacian twin parametric-margin support vector machine. 1-12

Human movements and activities

• 
  Xiangjun Dong, Yongshun Gong, Longbing Cao:
  F-NSP+: A fast negative sequential patterns mining method with self-adaptive data storage. 13-27

Objects and image analysis

• 
  Guian Zhang, Zhiyong Yuan, Qianqian Tong, Mianlun Zheng, Jianhui Zhao:
  A novel framework for background subtraction and foreground detection. 28-38

Clustering

• 
  Qilin Li, Wanquan Liu, Ling Li:
  Affinity learning via a diffusion process for subspace clustering. 39-50

Structural pattern recognition, network and graph methods

• 
  Yu Liu, Li Liu, Yanming Guo, Michael S. Lew:
  Learning visual and textual representations for multimodal matching and classification. 51-67

Objects and image analysis

• 
  Yongqiang Zhang, Yancheng Bai, Mingli Ding, Yongqiang Li, Bernard Ghanem:
  Weakly-supervised object detection via mining pseudo ground truth bounding-boxes. 68-81

Classifiers and classification

• 
  Érick Oliveira Rodrigues, Aura Conci, Panos Liatsis:
  Morphological classifiers. 82-96

Objects and image analysis

• 
  G. Malu, Elizabeth Sherly, Sumod Mathew Koshy:
  Circular mesh-based shape and margin descriptor for object detection. 97-111

Various applications

• 
  Shunli Zhang, Wei Lu, Weiwei Xing, Li Zhang:
  Using fuzzy least squares support vector machine with metric learning for object tracking. 112-125

Machine learning

• 
  Pengfei Zhu, Qi Hu, Qinghua Hu, Changqing Zhang, Zhizhao Feng:
  Multi-view label embedding. 126-135
• 
  Ba-Ngu Vo, Nhan Dam, Dinh Q. Phung, Quang N. Tran, Ba-Tuong Vo:
  Model-based learning for point pattern data. 136-151

Kernel methods and manifold learning

• 
  Hong-Jie Xing, Man Ji:
  Robust one-class support vector machine with rescaled hinge loss function. 152-164

Objects and image analysis

• 
  Parvaneh Aliniya, Parvin Razzaghi:
  Parametric and nonparametric context models: A unified approach to scene parsing. 165-181

Features

• 
  Dario Lodi Rizzini:
  Angular Radon spectrum for rotation estimation. 182-196

Objects and image analysis

• 
  Michaël Clément, Camille Kurtz, Laurent Wendling:
  Learning spatial relations and shapes for structural object description and scene recognition. 197-210

Classifiers and classification

• 
  Luis Carlos Padierna, Martín Carpio, Alfonso Rojas Domínguez, Héctor Puga, Héctor J. Fraire H.:
  A novel formulation of orthogonal polynomial kernel functions for SVM classifiers: The Gegenbauer family. 211-225

Objects and image analysis

• 
  Huan Fu, Mingming Gong, Chaohui Wang, Dacheng Tao:
  MoE-SPNet: A mixture-of-experts scene parsing network. 226-236
• 
  Jimmy Francky Randrianasoa, Camille Kurtz, Eric Desjardin, Nicolas Passat:
  Binary Partition Tree construction from multiple features for image segmentation. 237-250

Face and biometrics

• 
  Yuanyuan Liu, Xiaohui Yuan, Xi Gong, Zhong Xie, Fang Fang, Zhongwen Luo:
  Conditional convolution neural network enhanced random forest for facial expression recognition. 251-261
• 
  Chunlei Peng, Xinbo Gao, Nannan Wang, Jie Li:
  Face recognition from multiple stylistic sketches: Scenarios, datasets, and evaluation. 262-272

Classifiers and classification

• 
  Jinghua Liu, Yaojin Lin, Yuwen Li, Wei Weng, Shunxiang Wu:
  Online multi-label streaming feature selection based on neighborhood rough set. 273-287

Bio-medical patterns

• 
  Oliver Gloger, Klaus Tönnies:
  Subject-Specific prior shape knowledge in feature-oriented probability maps for fully automatized liver segmentation in MR volume data. 288-300

Objects and image analysis

• 
  Ezequiel López-Rubio, Karl Thurnhofer-Hemsi, Elidia Beatriz Blázquez-Parra, Óscar David de Cózar-Macías, M. Carmen Ladrón-de-Guevara-Muñoz:
  A fast robust geometric fitting method for parabolic curves. 301-316

Special Section on 50th Anniversary of Pattern Recognition; Edited by Ching Suen

• 
  Battista Biggio, Fabio Roli:
  Wild patterns: Ten years after the rise of adversarial machine learning. 317-331

Handwriting and document analysis

• 
  Napa Sae-Bae, Nasir D. Memon, Pitikhate Sooraksa:
  Distinctiveness, complexity, and repeatability of online signature templates. 332-344

Special Section on Deep Learning for Computer Aided Cancer Detection and Diagnosis with Medical Imaging;

• 
  Baris Gecer, Selim Aksoy, Ezgi Mercan, Linda G. Shapiro, Donald L. Weaver, Joann G. Elmore:
  Detection and classification of cancer in whole slide breast histopathology images using deep convolutional networks. 345-356