Pattern Recognition, Volume 93

Volume 93, September 2019

Bio-medical patterns

• 
  Juan Manuel Górriz, Javier Ramírez, MRC AIMS Consortium, John Suckling:
  On the computation of distribution-free performance bounds: Application to small sample sizes in neuroimaging. 1-13

Objects and image analysis

• 
  Zongze Wu, Hongchen Chen, Shaoyi Du, Minyue Fu, Nan Zhou, Nanning Zheng:
  Correntropy based scale ICP algorithm for robust point set registration. 14-24

Kernel methods and manifold learning

• 
  Jacopo Cavazza, Pietro Morerio, Vittorio Murino:
  Scalable and compact 3D action recognition with approximated RBF kernel machines. 25-35

Objects and image analysis

• 
  Mark Brown, David Windridge, Jean-Yves Guillemaut:
  A family of globally optimal branch-and-bound algorithms for 2D-3D correspondence-free registration. 36-54

Clustering

• 
  Xianglin Guo, Xingyu Xie, Guangcan Liu, Mingqiang Wei, Jun Wang:
  Robust Low-rank subspace segmentation with finite mixture noise. 55-67

Features

• 
  Giuseppe Patanè:
  A unified definition and computation of Laplacian spectral distances. 68-78

Classifiers and classification

• 
  Swarnendu Ghosh, Nibaran Das, Mita Nasipuri:
  Reshaping inputs for convolutional neural network: Some common and uncommon methods. 79-94

Clustering

• 
  Pasi Fränti, Sami Sieranoja:
  How much can k-means be improved by using better initialization and repeats? 95-112

Features

• 
  Xuefei Zhe, Shifeng Chen, Hong Yan:
  Directional statistics-based deep metric learning for image classification and retrieval. 113-123
• 
  Yibao Li, Jing Wang, Bingheng Lu, Darae Jeong, Junseok Kim:
  Multicomponent volume reconstruction from slice data using a modified multicomponent Cahn-Hilliard system. 124-133

Machine learning

• 
  Tomas Björklund, Attilio Fiandrotti, Mauro Annarumma, Gianluca Francini, Enrico Magli:
  Robust license plate recognition using neural networks trained on synthetic images. 134-146

Objects and image analysis

• 
  Qing Cai, Huiying Liu, Yiming Qian, Sanping Zhou, Xiaojun Duan, Yee-Hong Yang:
  Saliency-guided level set model for automatic object segmentation. 147-163

Special Section on Advances in Representation Learning Chen Gong, Jin Xie, Dong-Jun Yu, Jian Yang and Dacheng Tao

• 
  Dongmei Mo, Zhihui Lai:
  Robust Jointly Sparse Regression with Generalized Orthogonal Learning for Image Feature Selection. 164-178

Handwriting and document analysis

• 
  Haiqing Ren, Weiqiang Wang, Chenglin Liu:
  Recognizing online handwritten Chinese characters using RNNs with new computing architectures. 179-192

Special Section on Advances in Representation Learning

• 
  Xiangrui Li, Andong Wang, Jianfeng Lu, Zhenmin Tang:
  Statistical performance of convex low-rank and sparse tensor recovery. 193-203
• 
  Junjie Zhang, Qi Wu, Jian Zhang, Chunhua Shen, Jianfeng Lu, Qiang Wu:
  Heritage image annotation via collective knowledge. 204-214

Clustering

• 
  Xulun Ye, Jieyu Zhao:
  Multi-manifold clustering: A graph-constrained deep nonparametric method. 215-227

Special Section on Advances in Representation Learning

• 
  Yuqi Zhang, Yongzhen Huang, Liang Wang, Shiqi Yu:
  A comprehensive study on gait biometrics using a joint CNN-based method. 228-236

Face and biometrics

• 
  Weihong Li, Zhuowei Zhong, Wei-Shi Zheng:
  One-pass person re-identification by sketch online discriminant analysis. 237-250

Human movements and activities

• 
  Rui Li, Zhenyu Liu, Jianrong Tan:
  A survey on 3D hand pose estimation: Cameras, methods, and datasets. 251-272
• 
  Zhao Pei, Xiaoning Qi, Yanning Zhang, Miao Ma, Yee-Hong Yang:
  Human trajectory prediction in crowded scene using social-affinity Long Short-Term Memory. 273-282

Face and biometrics

• 
  Xiaoling Luo, Yong Xu, Jian Yang:
  Multi-resolution dictionary learning for face recognition. 283-292

Bio-medical patterns

• 
  Xiaohui Yang, Wenming Wu, Yunmei Chen, Xianqi Li, Juan Zhang, Dan Long, Lijun Yang:
  An integrated inverse space sparse representation framework for tumor classification. 293-311

Classifiers and classification

• 
  Gonzalo Safont, Addisson Salazar, Luis Vergara, Enriqueta Gomez, Vicente Villanueva:
  Multichannel dynamic modeling of non-Gaussian mixtures. 312-323

Objects and image analysis

• 
  Huan Ni, Xiaonan Niu:
  Agglomerative oversegmentation using dual similarity and entropy rate. 324-336

Features

• 
  Yong Zhang, Qi Wang, Dun-Wei Gong, Xianfang Song:
  Nonnegative Laplacian embedding guided subspace learning for unsupervised feature selection. 337-352
• 
  Binghui Chen, Weihong Deng:
  Deep embedding learning with adaptive large margin N-pair loss for image retrieval and clustering. 353-364
• 
  Yu Liu, Yanming Guo, Li Liu, Erwin M. Bakker, Michael S. Lew:
  CycleMatch: A cycle-consistent embedding network for image-text matching. 365-379

Clustering

• 
  Qiyue Yin, Junge Zhang, Shu Wu, Hexi Li:
  Multi-view clustering via joint feature selection and partially constrained cluster label learning. 380-391
• 
  Wencheng Zhu, Jiwen Lu, Jie Zhou:
  Structured general and specific multi-view subspace clustering. 392-403

Features

• 
  Binh Tran, Bing Xue, Mengjie Zhang:
  Genetic programming for multiple-feature construction on high-dimensional classification. 404-417

Special Section on Bio/neuroscience Pattern Recognition

• 
  Pierre Falez, Pierre Tirilly, Ioan Marius Bilasco, Philippe Devienne, Pierre Boulet:
  Unsupervised visual feature learning with spike-timing-dependent plasticity: How far are we from traditional feature learning approaches? 418-429

Face and biometrics

• 
  Jingke Meng, Ancong Wu, Wei-Shi Zheng:
  Deep asymmetric video-based person re-identification. 430-441
• 
  M. Saad Shakeel, Kin-Man Lam:
  Deep-feature encoding-based discriminative model for age-invariant face recognition. 442-457

Kernel methods and manifold learning

• 
  Ruifeng Zhu, Fadi Dornaika, Yassine Ruichek:
  Joint graph based embedding and feature weighting for image classification. 458-469

Objects and image analysis

• 
  Yashaswi Verma:
  Diverse image annotation with missing labels. 470-484
• 
  Hye-Won Jung, Sang-Heon Lee, Martin Donnelley, David Parsons, Victor Stamatescu, Ivan Lee:
  Multiple particle tracking in time-lapse synchrotron X-ray images using discriminative appearance and neighbouring topology learning. 485-497
• 
  Haanju Yoo, TaeKyu Eom, Jeong-Min Seo, Sang-Il Choi:
  Detection of interacting groups based on geometric and social relations between individuals in an image. 498-506

Handwriting and document analysis

• 
  Sana Khamekhem Jemni, Yousri Kessentini, Slim Kanoun:
  Out of vocabulary word detection and recovery in Arabic handwritten text recognition. 507-520

Objects and image analysis

• 
  Pingping Zhang, Wei Liu, Yinjie Lei, Huchuan Lu:
  Hyperfusion-Net: Hyper-densely reflective feature fusion for salient object detection. 521-533

Bio-medical patterns

• 
  Atilla Sit, Woong-Hee Shin, Daisuke Kihara:
  Three-dimensional Krawtchouk descriptors for protein local surface shape comparison. 534-545

Face and biometrics

• 
  Zijing Zhao, Ajay Kumar:
  A deep learning based unified framework to detect, segment and recognize irises using spatially corresponding features. 546-557

Handwriting and document analysis

• 
  Yuchen Zheng, Brian Kenji Iwana, Seiichi Uchida:
  Mining the displacement of max-pooling for text recognition. 558-569

Objects and image analysis

• 
  Wenju Xu, Shawn Shahriar Keshmiri, Guanghui Wang:
  Toward learning a unified many-to-many mapping for diverse image translation. 570-580

Machine learning

• 
  Yu Zhao, Zhenhui Shi, Jingyang Zhang, Dong Chen, Lixu Gu:
  A novel active learning framework for classification: Using weighted rank aggregation to achieve multiple query criteria. 581-602

Clustering

• 
  Rosa Altilio, Paolo Di Lorenzo, Massimo Panella:
  Distributed data clustering over networks. 603-620