Pattern Recognition, Volume 91

Volume 91, July 2019

Classifiers and classification

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  Adil Fahad, Abdulmohsen Almalawi, Zahir Tari, Kurayman Alharthi, Fawaz S. Al-Qahtani, Mohamed Cheriet:
  SemTra: A semi-supervised approach to traffic flow labeling with minimal human effort. 1-12
• 
  Zhensong Chen, Yong Shi, Zhiquan Qi:
  Constrained matrix factorization for semi-weakly learning with label proportions. 13-24
• 
  Josef V. Psutka, Josef Psutka:
  Sample size for maximum-likelihood estimates of Gaussian model depending on dimensionality of pattern space. 25-33
• 
  Xingyuan Bu, Yuwei Wu, Zhi Gao, Yunde Jia:
  Deep convolutional network with locality and sparsity constraints for texture classification. 34-46
• 
  Lei Qi, Xiaoqiang Lu, Xuelong Li:
  Exploiting spatial relation for fine-grained image classification. 47-55

Structural pattern recognition, network and graph methods

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  Manuel Curado, Francisco Escolano, Miguel Angel Lozano, Edwin R. Hancock:
  Dirichlet densifiers for improved commute times estimation. 56-68

Objects and image analysis

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  Hai Min, Li Xia, Junwei Han, Xiaofeng Wang, Qianqian Pan, Hao Fu, Hongzhi Wang, Stephen T. C. Wong, Hai Li:
  A multi-scale level set method based on local features for segmentation of images with intensity inhomogeneity. 69-85

Data science and big data

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  Joris Tavernier, Jaak Simm, Karl Meerbergen, Jörg Kurt Wegner, Hugo Ceulemans, Yves Moreau:
  Fast semi-supervised discriminant analysis for binary classification of large data sets. 86-99

Objects and image analysis

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  Rachid Benouini, Imad Batioua, Khalid Zenkouar, Azeddine Zahi, Hakim el Fadili, Hassan Qjidaa:
  Fast and accurate computation of Racah moment invariants for image classification. 100-110

Machine learning

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  Zhi-Fang Yang, Yi-Cyuan Lin:
  Reduction in number of constraints in max-margin early event detectors. 111-122

Structural pattern recognition, network and graph methods

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  Yu Yang, Xiao-Guang Gao, Zhi-gao Guo, Da-Qing Chen:
  Learning Bayesian networks using the constrained maximum a posteriori probability method. 123-134

Classifiers and classification

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  Jianqiang Song, Xuemei Xie, Guangming Shi, Weisheng Dong:
  Multi-layer discriminative dictionary learning with locality constraint for image classification. 135-146
• 
  Lei Luo, Jian Yang, Yigong Zhang, Yong Xu, Heng Huang:
  Nesting-structured nuclear norm minimization for spatially correlated matrix variate. 147-161

Features

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  Sadia Sharmin, Mohammad Shoyaib, Amin Ahsan Ali, Muhammad Asif Hossain Khan, Oksam Chae:
  Simultaneous feature selection and discretization based on mutual information. 162-174

Classifiers and classification

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  Ji Zhang, Kuizhi Mei, Yu Zheng, Jianping Fan:
  Learning multi-layer coarse-to-fine representations for large-scale image classification. 175-189

Machine learning

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  Marco Benjumeda, Sergio Luengo-Sanchez, Pedro Larrañaga, Concha Bielza:
  Tractable learning of Bayesian networks from partially observed data. 190-199

Handwriting and document analysis

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  Himakshi Choudhury, S. R. Mahadeva Prasanna:
  Representation of online handwriting using multi-component sinusoidal model. 200-215

Classifiers and classification

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  Amalia Luque, Alejandro Carrasco, Alejandro Martín, Ana de las Heras:
  The impact of class imbalance in classification performance metrics based on the binary confusion matrix. 216-231

Objects and image analysis

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  Amir Atapour Abarghouei, Samet Akcay, Grégoire Payen de La Garanderie, Toby P. Breckon:
  Generative adversarial framework for depth filling via Wasserstein metric, cosine transform and domain transfer. 232-244
• 
  Jun Beom Kho, Jaihie Kim, Ig-Jae Kim, Andrew Beng Jin Teoh:
  Cancelable fingerprint template design with randomized non-negative least squares. 245-260
• 
  Yinhui Zhang, Zifen He:
  Agnostic attribute segmentation of dynamic scenes with limited spatio-temporal resolution. 261-271

Human movements and activities

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  Lingfeng Wang, Chunhong Pan:
  Visual object tracking via a manifold regularized discriminative dual dictionary model. 272-280

Objects and image analysis

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  Danyang Zhang, Huadong Ma, Linqiang Pan:
  A gamma-signal-regulated connected components labeling algorithm. 281-290

Clustering

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  Parisa Rastin, Guénaël Cabanes, Basarab Matei, Younès Bennani, Jean-Marc Marty:
  A new sparse representation learning of complex data: Application to dynamic clustering of web navigation. 291-307

Classifiers and classification

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  Takoua Kefi-Fatteh, Riadh Ksantini, Mohamed Bécha Kaâniche, Adel Bouhoula:
  A novel incremental one-class support vector machine based on low variance direction. 308-321

Objects and image analysis

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  Wan-Jin Yu, Zhen-Duo Chen, Xin Luo, Wu Liu, Xin-Shun Xu:
  DELTA: A deep dual-stream network for multi-label image classification. 322-331

Various applications

• 
  Jie Gu, Gaofeng Meng, Shiming Xiang, Chunhong Pan:
  Blind image quality assessment via learnable attention-based pooling. 332-344

Objects and image analysis

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  Hua Yang, Chenghui Huang, Feiyue Wang, Kaiyou Song, Shijiao Zheng, Zhouping Yin:
  Large-scale and rotation-invariant template matching using adaptive radial ring code histograms. 345-356

Human movements and activities

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  Peng Wang, Lingqiao Liu, Chunhua Shen, Heng Tao Shen:
  Order-aware convolutional pooling for video based action recognition. 357-365

Bio-medical patterns

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  Jie Wei, Yong Xia, Yanning Zhang:
  M³Net: A multi-model, multi-size, and multi-view deep neural network for brain magnetic resonance image segmentation. 366-378

Handwriting and document analysis

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  Sheng He, Lambert Schomaker:
  DeepOtsu: Document enhancement and binarization using iterative deep learning. 379-390

Machine learning

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  Guotian Xie, Kuiyuan Yang, Jianhuang Lai:
  Filter-in-Filter: Low Cost CNN Improvement by Sub-filter Parameter Sharing. 391-403

Erratum

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  Cigdem Sazak, Carl J. Nelson, Boguslaw Obara:
  Erratum to 'The multiscale bowler-hat transform for blood vessel enhancement in retinal images' [Pattern Recognition 88 (2019) 739-750]. 404