Pattern Recognition, Volume 88

Volume 88, April 2019

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  Xiaofeng Liu, B. V. K. Vijaya Kumar, Ping Jia, Jane You:
  Hard negative generation for identity-disentangled facial expression recognition. 1-12

Clustering

• 
  Andreas Adolfsson, Margareta Ackerman, Naomi C. Brownstein:
  To cluster, or not to cluster: An analysis of clusterability methods. 13-26

Special Section on Advances in Representation Learning

• 
  Lihua Zhou, Guowang Du, Ruxin Wang, Dapeng Tao, Lizhen Wang, Jun Cheng, Jing Wang:
  A tensor framework for geosensor data forecasting of significant societal events. 27-37

Structural pattern recognition, network and graph methods

• 
  Zhihong Zhang, Dongdong Chen, Jianjia Wang, Lu Bai, Edwin R. Hancock:
  Quantum-based subgraph convolutional neural networks. 38-49

Clustering

• 
  Xiaobo Wang, Zhen Lei, Xiaojie Guo, Changqing Zhang, Hailin Shi, Stan Z. Li:
  Multi-view subspace clustering with intactness-aware similarity. 50-63

Handwriting and document analysis

• 
  Sheng He, Lambert Schomaker:
  Deep adaptive learning for writer identification based on single handwritten word images. 64-74

Human movements and activities

• 
  Bin Kang, Wei-Ping Zhu, Dong Liang, Mingkai Chen:
  Robust visual tracking via nonlocal regularized multi-view sparse representation. 75-89

Special Section on Advances in Representation Learning

• 
  Shengcong Chen, Changxing Ding, Minfeng Liu:
  Dual-force convolutional neural networks for accurate brain tumor segmentation. 90-100

Kernel methods and manifold learning

• 
  Nguyen Lu Dang Khoa, Yang Wang, Sanjay Chawla:
  Incremental commute time and its online applications. 101-112

Objects and image analysis

• 
  Xiu-Shen Wei, Chen-Lin Zhang, Jianxin Wu, Chunhua Shen, Zhi-Hua Zhou:
  Unsupervised object discovery and co-localization by deep descriptor transformation. 113-126

Special Section on Advances in Representation Learning

• 
  Xiaoning Song, Youming Chen, Zhen-Hua Feng, Guosheng Hu, Tao Zhang, Xiao-Jun Wu:
  Collaborative representation based face classification exploiting block weighted LBP and analysis dictionary learning. 127-138

Structural pattern recognition, network and graph methods

• 
  Weiying Xie, Yanzi Shi, Yunsong Li, Xiuping Jia, Jie Lei:
  High-quality spectral-spatial reconstruction using saliency detection and deep feature enhancement. 139-152

Objects and image analysis

• 
  Khalid M. Hosny, Mohamed M. Darwish:
  New set of multi-channel orthogonal moments for color image representation and recognition. 153-173

Special Section on Advances in Representation Learning

• 
  Shudong Huang, Zhao Kang, Ivor W. Tsang, Zenglin Xu:
  Auto-weighted multi-view clustering via kernelized graph learning. 174-184

Machine learning

• 
  Hongliu Cao, Simon Bernard, Robert Sabourin, Laurent Heutte:
  Random forest dissimilarity based multi-view learning for Radiomics application. 185-197

Classifiers and classification

• 
  Yulong Wang, Yuan Yan Tang, Luoqing Li, Xianwei Zheng:
  Block sparse representation for pattern classification: Theory, extensions and applications. 198-209
• 
  Chulhee Lee, Seongyoun Woo:
  Linear classifier design in the weight space. 210-222

Special Section on Bio/neuroscience Pattern Recognition

• 
  Iván González-Díaz, Jenny Benois-Pineau, Jean-Philippe Domenger, Daniel Cattaert, Aymar de Rugy:
  Perceptually-guided deep neural networks for ego-action prediction: Object grasping. 223-235

Classifiers and classification

• 
  Muli Yang, Cheng Deng, Feiping Nie:
  Adaptive-weighting discriminative regression for multi-view classification. 236-245

Clustering

• 
  Marco Riani, Anthony C. Atkinson, Andrea Cerioli, Aldo Corbellini:
  Efficient robust methods via monitoring for clustering and multivariate data analysis. 246-260
• 
  Shu-Kay Ng, Richard Tawiah, Geoffrey J. McLachlan:
  Unsupervised pattern recognition of mixed data structures with numerical and categorical features using a mixture regression modelling framework. 261-271

Classifiers and classification

• 
  Ting-Bing Xu, Peipei Yang, Xu-Yao Zhang, Cheng-Lin Liu:
  LightweightNet: Toward fast and lightweight convolutional neural networks via architecture distillation. 272-284

Human movements and activities

• 
  Xiaomeng Xin, Jinjun Wang, Ruji Xie, Sanping Zhou, Wenli Huang, Nanning Zheng:
  Semi-supervised person re-identification using multi-view clustering. 285-297

Machine learning

• 
  Pablo Ruiz, Pablo Morales-Alvarez, Rafael Molina, Aggelos K. Katsaggelos:
  Learning from crowds with variational Gaussian processes. 298-311

Handwriting and document analysis

• 
  Mohamed Mhiri, Christian Desrosiers, Mohamed Cheriet:
  Word spotting and recognition via a joint deep embedding of image and text. 312-320

Classifiers and classification

• 
  Liangxiao Jiang, Lungan Zhang, Liangjun Yu, Dianhong Wang:
  Class-specific attribute weighted naive Bayes. 321-330

Bio-medical patterns

• 
  Xiaohong Wang, Xudong Jiang, Jianfeng Ren:
  Blood vessel segmentation from fundus image by a cascade classification framework. 331-341

Human movements and activities

• 
  Xiao-Han Chen, Jian-Huang Lai:
  Detecting abnormal crowd behaviors based on the div-curl characteristics of flow fields. 342-355

Various applications

• 
  Lijun Zhao, Huihui Bai, Jie Liang, Bing Zeng, Anhong Wang, Yao Zhao:
  Simultaneous color-depth super-resolution with conditional generative adversarial networks. 356-369

Bio-medical patterns

• 
  Jialin Peng, Xiaofeng Zhu, Ye Wang, Le An, Dinggang Shen:
  Structured sparsity regularized multiple kernel learning for Alzheimer's disease diagnosis. 370-382

Special Section on Advances in Representation Learning

• 
  Yanchao Li, Yongli Wang, Qi Liu, Cheng Bi, Xiaohui Jiang, Shurong Sun:
  Incremental semi-supervised learning on streaming data. 383-396
• 
  Dehua Song, Yao Tang, Jufu Feng:
  Aggregating minutia-centred deep convolutional features for fingerprint indexing. 397-408
• 
  Berkay Topcu, Hakan Erdogan:
  Fixed-length asymmetric binary hashing for fingerprint verification through GMM-SVM based representations. 409-420

Structural pattern recognition, network and graph methods

• 
  Yu Zhang, Han Zhang, Xiaobo Chen, Mingxia Liu, Xiaofeng Zhu, Seong-Whan Lee, Dinggang Shen:
  Strength and similarity guided group-level brain functional network construction for MCI diagnosis. 421-430

Objects and image analysis

• 
  Pattathal V. Arun, Ittai Herrmann, Krishna M. Budhiraju, Arnon Karnieli:
  Convolutional network architectures for super-resolution/sub-pixel mapping of drone-derived images. 431-446

Kernel methods and manifold learning

• 
  Mingyuan Jiu, Hichem Sahbi:
  Deep representation design from deep kernel networks. 447-457
• 
  Chenlei Lv, Zhongke Wu, Xingce Wang, Mingquan Zhou, Kar-Ann Toh:
  Nasal similarity measure of 3D faces based on curve shape space. 458-469

Clustering

• 
  Ioannis A. Maraziotis, Stavros J. Perantonis, Andrei Dragomir, Dimitris Thanos:
  K-Nets: Clustering through nearest neighbors networks. 470-481

Bio-medical patterns

• 
  Diego Carrera, Beatrice Rossi, Pasqualina Fragneto, Giacomo Boracchi:
  Online anomaly detection for long-term ECG monitoring using wearable devices. 482-492
• 
  Qiang Wang, Huijie Fan, Gan Sun, Yang Cong, Yandong Tang:
  Laplacian pyramid adversarial network for face completion. 493-505

Machine learning

• 
  Izaskun Oregi, Aritz Pérez, Javier Del Ser, José Antonio Lozano:
  On-line Elastic Similarity Measures for time series. 506-517
• 
  Yong Shi, Minglong Lei, Hong Yang, Lingfeng Niu:
  Diffusion network embedding. 518-531

Objects and image analysis

• 
  Tomislav Pribanic, Tomislav Petkovic, Matea Donlic:
  3D registration based on the direction sensor measurements. 532-546

Classifiers and classification

• 
  Danyu Lai, Wei Tian, Long Chen:
  Improving classification with semi-supervised and fine-grained learning. 547-556

Special Section on Open-Set Big Data Understanding: Theory and Applications

• 
  Xin Liu, Jiajia Geng, Haibin Ling, Yiu-ming Cheung:
  Attention guided deep audio-face fusion for efficient speaker naming. 557-568

Clustering

• 
  Daniel Gribel, Thibaut Vidal:
  HG-means: A scalable hybrid genetic algorithm for minimum sum-of-squares clustering. 569-583
• 
  Chao Gou, Hui Zhang, Kunfeng Wang, Fei-Yue Wang, Qiang Ji:
  Cascade learning from adversarial synthetic images for accurate pupil detection. 584-594

Special Section on Open-Set Big Data Understanding: Theory and Applications

• 
  Zhihui Li, Lina Yao, Xiaojun Chang, Kun Zhan, Jiande Sun, Huaxiang Zhang:
  Zero-shot event detection via event-adaptive concept relevance mining. 595-603

Handwriting and document analysis

• 
  Raymond W. Ptucha, Felipe Petroski Such, Suhas Pillai, Frank Brockler, Vatsala Singh, Paul Hutkowski:
  Intelligent character recognition using fully convolutional neural networks. 604-613
• 
  Rudolf Haraksim, Javier Galbally, Laurent Beslay:
  Fingerprint growth model for mitigating the ageing effect on children's fingerprints matching. 614-628

Machine learning

• 
  Haishan Ye, Guangzeng Xie, Luo Luo, Zhihua Zhang:
  Fast stochastic second-order method logarithmic in condition number. 629-642
• 
  Ya Ju Fan:
  Autoencoder node saliency: Selecting relevant latent representations. 643-653

Data science and big data

• 
  Shima Kashef, Hossein Nezamabadi-pour:
  A label-specific multi-label feature selection algorithm based on the Pareto dominance concept. 654-667

Classifiers and classification

• 
  Kun-Yi Huang, Chung-Hsien Wu, Ming-Hsiang Su:
  Attention-based convolutional neural network and long short-term memory for short-term detection of mood disorders based on elicited speech responses. 668-678
• 
  Jun Xu, Wangpeng An, Lei Zhang, David Zhang:
  Sparse, collaborative, or nonnegative representation: Which helps pattern classification? 679-688

Machine learning

• 
  Cheng Liu, Chutao Zheng, Sheng Qian, Si Wu, Hau-San Wong:
  Encoding sparse and competitive structures among tasks in multi-task learning. 689-701

Objects and image analysis

• 
  Pingping Zhang, Wei Liu, Hongyu Wang, Yinjie Lei, Huchuan Lu:
  Deep gated attention networks for large-scale street-level scene segmentation. 702-714
• 
  Bin Han, Yiquan Wu:
  Active contours driven by global and local weighted signed pressure force for image segmentation. 715-728

Machine learning

• 
  Peizhen Bai, Yan Ge, Fangling Liu, Haiping Lu:
  Joint interaction with context operation for collaborative filtering. 729-738

Bio-medical patterns

• 
  Cigdem Sazak, Carl J. Nelson, Boguslaw Obara:
  The multiscale bowler-hat transform for blood vessel enhancement in retinal images. 739-750