Pattern Recognition, Volume 134

Volume 134, February 2023

Various applications

• 
  Hafijur Rahman, Gour Chandra Paul:
  Tripartite sub-image histogram equalization for slightly low contrast gray-tone image enhancement. 109043
• 
  Tsz-Ching Ng, Siu-Kai Choy, Shu Yan Lam, Kwok Wai Yu:
  Fuzzy Superpixel-based Image Segmentation. 109045

Objects and image analysis

• 
  Hanyu Xiang, Qin Zou, Muhammad Ali Nawaz, Xianfeng Huang, Fan Zhang, Hongkai Yu:
  Deep learning for image inpainting: A survey. 109046

Special Section on Open World Robust Pattern Recognition

• 
  Jiayang Liu, Weiming Zhang, Kazuto Fukuchi, Youhei Akimoto, Jun Sakuma:
  Unauthorized AI cannot recognize me: Reversible adversarial example. 109048

Structural pattern recognition, network and graph methods

• 
  Chunwei Tian, Menghua Zheng, Wangmeng Zuo, Bob Zhang, Yanning Zhang, David Zhang:
  Multi-stage image denoising with the wavelet transform. 109050

Machine learning

• 
  Qinghua Zhang, Yongyang Dai, Guoyin Wang:
  Density peaks clustering based on balance density and connectivity. 109052

Special Section on Open World Robust Pattern Recognition

• 
  Xi Yu, Niklas Smedemark-Margulies, Shuchin Aeron, Toshiaki Koike-Akino, Pierre Moulin, Matthew Brand, Kieran Parsons, Ye Wang:
  Improving adversarial robustness by learning shared information. 109054

Kernel methods and manifold learning

• 
  Kun Fang, Fanghui Liu, Xiaolin Huang, Jie Yang:
  End-to-end kernel learning via generative random Fourier features. 109057

Clustering

• 
  Sebastián Maldonado, Ramiro Saltos, Carla Vairetti, José Delpiano:
  Mitigating the effect of dataset shift in clustering. 109058

Structural pattern recognition, network and graph methods

• 
  He Liu, Tao Wang, Yidong Li, Congyan Lang, Yi Jin, Haibin Ling:
  Joint Graph Learning and Matching for Semantic Feature Correspondence. 109059

Classifiers and classification

• 
  Junnan Li, Mingqiang Zhou, Qingsheng Zhu, Quanwang Wu:
  A framework based on local cores and synthetic examples generation for self-labeled semi-supervised classification. 109060

Clustering

• 
  Jian Hou, Huaqiang Yuan, Marcello Pelillo:
  Towards Parameter-Free Clustering for Real-World Data. 109062

Special Section on Open World Robust Pattern Recognition

• 
  Zhenhuang Cai, Guo-Sen Xie, Xingguo Huang, Dan Huang, Yazhou Yao, Zhenmin Tang:
  Robust learning from noisy web data for fine-Grained recognition. 109063
• 
  Maura Pintor, Daniele Angioni, Angelo Sotgiu, Luca Demetrio, Ambra Demontis, Battista Biggio, Fabio Roli:
  ImageNet-Patch: A dataset for benchmarking machine learning robustness against adversarial patches. 109064

Face and biometrics

• 
  Cuican Yu, Zihui Zhang, Huibin Li, Jian Sun, Zongben Xu:
  Meta-learning-based adversarial training for deep 3D face recognition on point clouds. 109065
• 
  Matthew Korban, Peter A. Youngs, Scott T. Acton:
  TAA-GCN: A temporally aware Adaptive Graph Convolutional Network for age estimation. 109066

Clustering

• 
  Bing Cai, Gui-Fu Lu, Liang Yao, Hua Li:
  High-order manifold regularized multi-view subspace clustering with robust affinity matrices and weighted TNN. 109067

Objects and image analysis

• 
  Jiali Xi, Jianqiang Huang, Shibao Zheng, Qin Zhou, Bernt Schiele, Xian-Sheng Hua, Qianru Sun:
  Learning comprehensive global features in person re-identification: Ensuring discriminativeness of more local regions. 109068

Face and biometrics

• 
  Yaswanth Gavini, Arun Agarwal, Babu M. Mehtre:
  Thermal to Visual Person Re-Identification Using Collaborative Metric Learning Based on Maximum Margin Matrix Factorization. 109069

Objects and image analysis

• 
  Renjie Zhang, Yu Fang, Huaxin Song, Fangbin Wan, Yanwei Fu, Hirokazu Kato, Yang Wu:
  Specialized re-ranking: A novel retrieval-verification framework for cloth changing person re-identification. 109070
• 
  Shuai Li, Liang Liu, Ji Liu, Wenfeng Song, Aimin Hao, Hong Qin:
  SC-GAN: Subspace Clustering based GAN for Automatic Expression Manipulation. 109072

Machine learning

• 
  Mingqi Gao, Jungong Han, Feng Zheng, James J. Q. Yu, Giovanni Montana:
  Video Object Segmentation using Point-based Memory Network. 109073
• 
  Yonghao Li, Liang Hu, Wanfu Gao:
  Multi-label feature selection via robust flexible sparse regularization. 109074

Various applications

• 
  Tengjiao Li, Maosen Li, Yanhua Yang, Cheng Deng:
  Frequency domain regularization for iterative adversarial attacks. 109075

Bio-medical patterns

• 
  Xiangmin Han, Jun Wang, Shihui Ying, Jun Shi, Dinggang Shen:
  ML-DSVM+: A meta-learning based deep SVM+ for computer-aided diagnosis. 109076

Clustering

• 
  Wang Li, Siwei Wang, Xifeng Guo, En Zhu:
  Deep graph clustering with multi-level subspace fusion. 109077

Objects and image analysis

• 
  Xiaohan Yu, Yongsheng Gao, Mohammed Bennamoun, Shengwu Xiong:
  A Lie algebra representation for efficient 2D shape classification. 109078
• 
  Li Liu, Mingzhu Wang, Shuwang Zhou, Minglei Shu, Laurent D. Cohen, Da Chen:
  Curvilinear Structure Tracking Based on Dynamic Curvature-penalized Geodesics. 109079

Classifiers and classification

• 
  Xiaoshuang Shi, Zhenhua Guo, Kang Li, Yun Liang, Xiaofeng Zhu:
  Self-paced resistance learning against overfitting on noisy labels. 109080

Kernel methods and manifold learning

• 
  Abhishek, Rakesh Kumar Yadav, Shekhar Verma:
  Parzen Window Approximation on Riemannian Manifold. 109081

Objects and image analysis

• 
  Marco Trombini, David Solarna, Gabriele Moser, Silvana G. Dellepiane:
  A goal-driven unsupervised image segmentation method combining graph-based processing and Markov random fields. 109082

Clustering

• 
  Xingfeng Li, Zhenwen Ren, Quansen Sun, Zhi Xu:
  Auto-weighted Tensor Schatten p-Norm for Robust Multi-view Graph Clustering. 109083

Data science and big data

• 
  Yueyue Yao, Jianghong Ma, Yunming Ye:
  Regularizing autoencoders with wavelet transform for sequence anomaly detection. 109084

Structural pattern recognition, network and graph methods

• 
  Hayden S. Helm, Amitabh Basu, Avanti Athreya, Youngser Park, Joshua T. Vogelstein, Carey E. Priebe, Michael Winding, Marta Zlatic, Albert Cardona, Patrick Bourke, Jonathan Larson, Marah Ihab Abdin, Piali Choudhury, Weiwei Yang, Christopher W. White:
  Distance-based positive and unlabeled learning for ranking. 109085

Machine learning

• 
  Sentao Chen, Lei Wang, Zijie Hong, Xiaowei Yang:
  Domain Generalization by Joint-Product Distribution Alignment. 109086

Structural pattern recognition, network and graph methods

• 
  Xiao Sun, Yang Huang, Zhouhui Lian:
  Learning isometry-invariant representations for point cloud analysis. 109087

Features

• 
  Pengfei Ge, Chuan-Xian Ren, Xiao-Lin Xu, Hong Yan:
  Unsupervised Domain Adaptation via Deep Conditional Adaptation Network. 109088

Face and biometrics

• 
  Giuseppe Stragapede, Rubén Vera-Rodríguez, Ruben Tolosana, Aythami Morales:
  BehavePassDB: Public Database for Mobile Behavioral Biometrics and Benchmark Evaluation. 109089

Classifiers and classification

• 
  Dalal AL-Alimi, Mohammed Abdulaziz Aide Al-qaness, Zhihua Cai, Eman Ahmed Alawamy:
  IDA: Improving distribution analysis for reducing data complexity and dimensionality in hyperspectral images. 109096

Objects and image analysis

• 
  Qing Mao, Rui Li, Yu Zhu, Jinqiu Sun, Yanning Zhang:
  Enhancing 3D-2D Representations for Convolution Occupancy Networks. 109097
• 
  Xiuwei Zhang, Wei Guo, Yinghui Xing, Wenna Wang, Hanlin Yin, Yanning Zhang:
  AugFCOS: Augmented fully convolutional one-stage object detection network. 109098
• 
  Yuming Fang, Haiyan Zhang, Jiebin Yan, Wenhui Jiang, Yang Liu:
  UDNet: Uncertainty-aware deep network for salient object detection. 109099

Machine learning

• 
  Yulong Wang, Kit Ian Kou, Hong Chen, Yuan Yan Tang, Luoqing Li:
  Simultaneous Robust Matching Pursuit for Multi-view Learning. 109100

Objects and image analysis

• 
  Jian Liu, Na Song, Zhengde Xia, Bin Liu, Jinxiao Pan, Abdul Ghaffar, Jianbin Ren, Ming Yang:
  A dense light field reconstruction algorithm for four-dimensional optical flow constraint equation. 109101

Features

• 
  Pierre De Handschutter, Nicolas Gillis:
  A consistent and flexible framework for deep matrix factorizations. 109102

Structural pattern recognition, network and graph methods

• 
  Baiying Lei, Yun Zhu, Shuangzhi Yu, Huoyou Hu, Yanwu Xu, Guanghui Yue, Tianfu Wang, Cheng Zhao, Shaobin Chen, Peng Yang, Xuegang Song, Xiaohua Xiao, Shuqiang Wang:
  Multi-scale enhanced graph convolutional network for mild cognitive impairment detection. 109106

Classifiers and classification

• 
  Zhiyong Dai, Jianjun Yi, Lei Yan, Qingwen Xu, Liang Hu, Qi Zhang, Jiahui Li, Guoqiang Wang:
  PFEMed: Few-shot medical image classification using prior guided feature enhancement. 109108

Special Section on Open World Robust Pattern Recognition

• 
  Chang Liu, Chun Yang, Haibo Qin, Xiaobin Zhu, Cheng-Lin Liu, Xu-Cheng Yin:
  Towards open-set text recognition via label-to-prototype learning. 109109

Classifiers and classification

• 
  Lin Bai, Fenglian Chen, Yang Tian:
  Automatically detecting human-object interaction by an instance part-level attention deep framework. 109110

Machine learning

• 
  Wanfu Gao, Pingting Hao, Yang Wu, Ping Zhang:
  A unified low-order information-theoretic feature selection framework for multi-label learning. 109111

Data science and big data

• 
  Hang Yu, Weixu Liu, Jie Lu, Yimin Wen, Xiangfeng Luo, Guangquan Zhang:
  Detecting group concept drift from multiple data streams. 109113

Kernel methods and manifold learning

• 
  Wenhui Wu, Junhui Hou, Shiqi Wang, Sam Kwong, Yu Zhou:
  Semi-supervised adaptive kernel concept factorization. 109114

Machine learning

• 
  Lorena Romero-Medrano, Antonio Artés-Rodríguez:
  Multi-Source Change-Point Detection over Local Observation Models. 109116
• 
  Víctor Aceña, Isaac Martín de Diego, Rubén R. Fernández, Javier M. Moguerza:
  Support subsets estimation for support vector machines retraining. 109117

Clustering

• 
  Jinbiao Zhao, Gui-Fu Lu:
  Clean affinity matrix learning with rank equality constraint for multi-view subspace clustering. 109118

Classifiers and classification

• 
  Wenzhu Yan, Yanmeng Li, Ming Yang:
  Towards deeper match for multi-view oriented multiple kernel learning. 109119

Machine learning

• 
  Yonghao Li, Liang Hu, Wanfu Gao:
  Robust sparse and low-redundancy multi-label feature selection with dynamic local and global structure preservation. 109120
• 
  Ragav Sachdeva, Filipe Rolim Cordeiro, Vasileios Belagiannis, Ian Reid, Gustavo Carneiro:
  ScanMix: Learning from Severe Label Noise via Semantic Clustering and Semi-Supervised Learning. 109121

Classifiers and classification

• 
  Kun-Hong Liu, Jie Gao, Yong Xu, Kaijie Feng, Xiao-Na Ye, Sze-Teng Liong, Li-Yan Chen:
  A novel soft-coded error-correcting output codes algorithm. 109122
• 
  Changda Xing, Chaowei Duan, Zhisheng Wang, Meiling Wang:
  Binary feature learning with local spectral context-aware attention for classification of hyperspectral images. 109123

Structural pattern recognition, network and graph methods

• 
  Qing-Yan Chen, Da-Zheng Feng, Wei Xing Zheng, Xiang-Wei Feng:
  An efficient point-set registration algorithm with dual terms based on total least squares. 109124

Features

• 
  Chi Thang Duong, Thanh Tam Nguyen, Trung-Dung Hoang, Hongzhi Yin, Matthias Weidlich, Quoc Viet Hung Nguyen:
  Deep MinCut: Learning Node Embeddings by Detecting Communities. 109126

Classifiers and classification

• 
  Yuwu Lu, Xingping Luo, Jiajun Wen, Zhihui Lai, Xuelong Li:
  Cross-domain structure learning for visual data recognition. 109127

Various applications

• 
  Abhimanyu Sahu, Ananda S. Chowdhury:
  Egocentric video co-summarization using transfer learning and refined random walk on a constrained graph. 109128

Machine learning

• 
  Tao Li, Jinwen Ma:
  Dirichlet process mixture of Gaussian process functional regressions and its variational EM algorithm. 109129
• 
  Ignacio Peis, Pablo M. Olmos, Antonio Artés-Rodríguez:
  Unsupervised learning of global factors in deep generative models. 109130
• 
  Artemios-Anargyros Semenoglou, Evangelos Spiliotis, Vassilios Assimakopoulos:
  Data augmentation for univariate time series forecasting with neural networks. 109132

Special Section on Weakly Supervised Learning on Big Vision Data

• 
  Jinfu Fan, Yang Yu, Linqing Huang, Zhongjie Wang:
  GraphDPI: Partial label disambiguation by graph representation learning via mutual information maximization. 109133

Human movements and activities

• 
  Yiping Tang, Yang Zheng, Chen Wei, Kaitai Guo, Haihong Hu, Jimin Liang:
  Video representation learning for temporal action detection using global-local attention. 109135