Pattern Recognition, Volume 137

Volume 137, May 2023

Clustering

• 
  Yiming Wang, Dongxia Chang, Zhiqiang Fu, Yao Zhao:
  Learning a bi-directional discriminative representation for deep clustering. 109237
• 
  Eduardo Sany Laber, Lucas Murtinho, Felipe Oliveira:
  Shallow decision trees for explainable k-means clustering. 109239

Various applications

• 
  Wentao Wang, Lu He, Li Niu, Jianfu Zhang, Yue Liu, Haoyu Ling, Liqing Zhang:
  Diverse image inpainting with disentangled uncertainty. 109243

Machine learning

• 
  Amena Khatun, Simon Denman, Sridha Sridharan, Clinton Fookes:
  Pose-driven attention-guided image generation for person re-Identification. 109246

Objects and image analysis

• 
  Jingzheng Deng, Jinxia Zhang, Zewen Hu, Liantao Wang, Jiacheng Jiang, Xinchao Zhu, Xinyi Chen, Yin Yuan, Chao Wang:
  RGB-D salient object ranking based on depth stack and truth stack for complex indoor scenes. 109251
• 
  Dong Chen, Duoqian Miao:
  Control Distance IoU and Control Distance IoU Loss for Better Bounding Box Regression. 109256

Special Section on Fine-grained object retrieval, matching and ranking

• 
  Wenqian Zhu, Zhongyuan Wang, Xiaochen Wang, Ruimin Hu, Huikai Liu, Cheng Liu, Chao Wang, Dengshi Li:
  A Dual Self-Attention mechanism for vehicle re-Identification. 109258

Clustering

• 
  Yanying Mei, Zhenwen Ren, Bin Wu, Tao Yang, Yanhua Shao:
  Multi-order similarity learning for multi-view spectral clustering. 109264

Structural pattern recognition, network and graph methods

• 
  Bo Jiang, Beibei Wang, Bin Luo:
  Sparse norm regularized attribute selection for graph neural networks. 109265

Classifiers and classification

• 
  Mohammad Shifat-E.-Rabbi, Yan Zhuang, Shiying Li, Abu Hasnat Mohammad Rubaiyat, Xuwang Yin, Gustavo K. Rohde:
  Invariance encoding in sliced-Wasserstein space for image classification with limited training data. 109268

Clustering

• 
  Rustam Mussabayev, Nenad Mladenovic, Bassem Jarboui, Ravil Mussabayev:
  How to Use K-means for Big Data Clustering? 109269

Classifiers and classification

• 
  De Cheng, Gerong Wang, Bo Wang, Qiang Zhang, Jungong Han, Dingwen Zhang:
  Hybrid routing transformer for zero-shot learning. 109270

Machine learning

• 
  Sentao Chen, Lin Zheng, Hanrui Wu:
  Riemannian representation learning for multi-source domain adaptation. 109271
• 
  Yan Gong, Georgina Cosma:
  Improving visual-semantic embeddings by learning semantically-enhanced hard negatives for cross-modal information retrieval. 109272

Clustering

• 
  Yizhang Wang, Wei Pang, Zhixiang Jiao:
  An adaptive mutual K-nearest neighbors clustering algorithm based on maximizing mutual information. 109273
• 
  Jingxing Yin, Siyuan Peng, Zhijing Yang, Badong Chen, Zhiping Lin:
  Hypergraph based semi-supervised symmetric nonnegative matrix factorization for image clustering. 109274
• 
  Geping Yang, Sucheng Deng, Xiang Chen, Can Chen, Yiyang Yang, Zhiguo Gong, Zhifeng Hao:
  RESKM: A General Framework to Accelerate Large-Scale Spectral Clustering. 109275

Objects and image analysis

• 
  Ge Song, Xiaoyang Tan, Ming Yang:
  Deep continual hashing with gradient-aware memory for cross-modal retrieval. 109276
• 
  Nanfeng Jiang, Jiawei Luo, Junhong Lin, Weiling Chen, Tiesong Zhao:
  Lightweight Semi-supervised Network for Single Image Rain Removal. 109277

Machine learning

• 
  Yaoye Song, Peng Zhang, Wei Huang, Yufei Zha, Tao You, Yanning Zhang:
  Object detection based on cortex hierarchical activation in border sensitive mechanism and classification-GIou joint representation. 109278

Objects and image analysis

• 
  Chen-Lin Zhang, Yin Li, Jianxin Wu:
  Weakly supervised foreground learning for weakly supervised localization and detection. 109279
• 
  Chengcheng Ma, Xingjia Pan, Qixiang Ye, Fan Tang, Weiming Dong, Changsheng Xu:
  CrossRectify: Leveraging disagreement for semi-supervised object detection. 109280

Clustering

• 
  Khamis Houfar, Djamel Samai, Fadi Dornaika, Azeddine Benlamoudi, Khaled Bensid, Abdelmalik Taleb-Ahmed:
  Automatically weighted binary multi-view clustering via deep initialization (AW-BMVC). 109281

Machine learning

• 
  Jovan Chavoshinejad, Seyed Amjad Seyedi, Fardin Akhlaghian Tab, Navid Salahian:
  Self-supervised semi-supervised nonnegative matrix factorization for data clustering. 109282

Clustering

• 
  Yunxia Lin, Songcan Chen:
  Rectified Euler k-means and beyond. 109283

Classifiers and classification

• 
  Yanchen Liu, King Wai Chiu Lai:
  The Performance Index of Convolutional Neural Network-Based Classifiers in Class Imbalance Problem. 109284
• 
  Hoki Kim, Jinseong Park, Jaewook Lee:
  Generating Transferable Adversarial Examples for Speech Classification. 109286

Clustering

• 
  Zafaryab Rasool, Sunil Aryal, Mohamed Reda Bouadjenek, Richard Dazeley:
  Overcoming weaknesses of density peak clustering using a data-dependent similarity measure. 109287

Human movements and activities

• 
  José Celestino, Manuel Marques, Jacinto C. Nascimento, João Paulo Costeira:
  2D Image head pose estimation via latent space regression under occlusion settings. 109288

Objects and image analysis

• 
  Feiniu Yuan, Kang Li, Chunmei Wang, Zhijun Fang:
  A lightweight network for smoke semantic segmentation. 109289

Face and biometrics

• 
  Ugochi C. Ejiogu, Ogechukwu N. Iloanusi:
  Real time iris segmentation quality evaluation using medoids. 109290

Objects and image analysis

• 
  Hai Min, Yemao Zhang, Yang Zhao, Wei Jia, Ying-Ke Lei, Chunxiao Fan:
  Hybrid feature enhancement network for few-shot semantic segmentation. 109291
• 
  Soopil Kim, Philip Chikontwe, Sion An, Sanghyun Park:
  Uncertainty-aware semi-supervised few shot segmentation. 109292
• 
  Chenrui Wu, Long Chen, Shenglong Wang, Han Yang, Junjie Jiang:
  Geometric-aware dense matching network for 6D pose estimation of objects from RGB-D images. 109293

Innovative Applications of Pattern Recognition

• 
  Wei-Yen Hsu, Wei-Chi Chang:
  Recurrent wavelet structure-preserving residual network for single image deraining. 109294

Objects and image analysis

• 
  Wei Tang, Fazhi He, Yu Liu:
  TCCFusion: An infrared and visible image fusion method based on transformer and cross correlation. 109295
• 
  Zhihua Wang, Zhi-Ri Tang, Jianguo Zhang, Yuming Fang:
  Toward a blind image quality evaluator in the wild by learning beyond human opinion scores. 109296
• 
  Rui Li, Danna Xue, Shaolin Su, Xiantuo He, Qing Mao, Yu Zhu, Jinqiu Sun, Yanning Zhang:
  Learning depth via leveraging semantics: Self-supervised monocular depth estimation with both implicit and explicit semantic guidance. 109297
• 
  Kunhao Yuan, Gerald Schaefer, Yu-Kun Lai, Yifan Wang, Xiyao Liu, Lin Guan, Hui Fang:
  A multi-strategy contrastive learning framework for weakly supervised semantic segmentation. 109298
• 
  Sijie Hu, Fabien Bonardi, Samia Bouchafa, Désiré Sidibé:
  Multi-modal unsupervised domain adaptation for semantic image segmentation. 109299

Clustering

• 
  Teng Qiu, Yongjie Li:
  Hierarchical nearest neighbor descent, in-tree, and clustering. 109300

Machine learning

• 
  Jia Lv, Kaikai Song, Qiang Ye, Guangjian Tian:
  Semi-supervised node classification via fine-grained graph auxiliary augmentation learning. 109301
• 
  Xiaofeng Cao:
  Poincaré Fréchet mean. 109302
• 
  Marcelino Lázaro, Aníbal R. Figueiras-Vidal:
  Neural network for ordinal classification of imbalanced data by minimizing a Bayesian cost. 109303

Objects and image analysis

• 
  Ziruo Sun, Xiushan Nie, Xiaopeng Bi, Shaohua Wang, Yilong Yin:
  Detail enhancement-based vehicle re-identification with orientation-guided re-ranking. 109304
• 
  Xiao Ke, Yuhang Cai, Baitao Chen, Hao Liu, Wenzhong Guo:
  Granularity-aware distillation and structure modeling region proposal network for fine-grained image classification. 109305

Innovative Applications of Pattern Recognition

• 
  Qing Li, Cheng Wang, Chenglu Wen, Xin Li:
  DeepSIR: Deep semantic iterative registration for LiDAR point clouds. 109306

Objects and image analysis

• 
  Hui Chen, Tingting Xie, Man Liang, Wanquan Liu, Peter Xiaoping Liu:
  A local tangent plane distance-based approach to 3D point cloud segmentation via clustering. 109307

Special Section on Practical Deep Learning in the Wild

• 
  Jun Guo, Wei Bao, Jiakai Wang, Yuqing Ma, Xinghai Gao, Gang Xiao, Aishan Liu, Jian Dong, Xianglong Liu, Wenjun Wu:
  A comprehensive evaluation framework for deep model robustness. 109308

Innovative Applications of Pattern Recognition

• 
  Xinning Wang, Yuben Zhao, Chong Li, Peng Ren:
  ProbSAP: A comprehensive and high-performance system for student academic performance prediction. 109309

Classifiers and classification

• 
  Zhiling Fu, Zhe Wang, Xinlei Xu, Dongdong Li, Hai Yang:
  Knowledge aggregation networks for class incremental learning. 109310

Structural pattern recognition, network and graph methods

• 
  Taotao Lai, Alireza Sadri, Shuyuan Lin, Zuoyong Li, Riqing Chen, Hanzi Wang:
  Efficient sampling using feature matching and variable minimal structure size. 109311

Data science and big data

• 
  Xingcai Zhou, Le Chang, Pengfei Xu, Shaogao Lv:
  Communication-efficient and Byzantine-robust distributed learning with statistical guarantee. 109312

Clustering

• 
  Stiphen Chowdhury, Na Helian, Renato Cordeiro de Amorim:
  Feature weighting in DBSCAN using reverse nearest neighbours. 109314

Human movements and activities

• 
  Prasun Roy, Saumik Bhattacharya, Subhankar Ghosh, Umapada Pal:
  Multi-scale attention guided pose transfer. 109315

Classifiers and classification

• 
  Yigong Pan, Ke Tang, Guangzhong Sun:
  Theoretical guarantee for crowdsourcing learning with unsure option. 109316

Handwriting and document analysis

• 
  Ji Gan, Yuyan Chen, Bo Hu, Jiaxu Leng, Weiqiang Wang, Xinbo Gao:
  Characters as graphs: Interpretable handwritten Chinese character recognition via Pyramid Graph Transformer. 109317

Bio-medical patterns

• 
  Jinming Duan, Xi Jia, Joseph Bartlett, Wenqi Lu, Zhaowen Qiu:
  Arbitrary Order Total Variation for Deformable Image Registration. 109318

Machine learning

• 
  Mengzhu Wang, Shanshan Wang, Wei Wang, Li Shen, Xiang Zhang, Long Lan, Zhigang Luo:
  Reducing bi-level feature redundancy for unsupervised domain adaptation. 109319

Objects and image analysis

• 
  Ruining Tang, Zhenyu Liu, Yangguang Li, Yiguo Song, Hui Liu, Qide Wang, Jing Shao, Guifang Duan, Jianrong Tan:
  Task-balanced distillation for object detection. 109320
• 
  Pengpeng Chen, Dongjingdian Liu, Shouwan Gao:
  Non-residual unrestricted pruned ultra-faster line detection for edge devices. 109321

Machine learning

• 
  Matthieu Herrmann, Geoffrey I. Webb:
  Amercing: An intuitive and effective constraint for dynamic time warping. 109333

Clustering

• 
  Rashmi Maheshwari, Sraban Kumar Mohanty, Amaresh Chandra Mishra:
  DCSNE: Density-based Clustering using Graph Shared Neighbors and Entropy. 109341

Machine learning

• 
  Quan Yu, Ming Yang:
  Low-rank tensor recovery via non-convex regularization, structured factorization and spatio-temporal characteristics. 109343

Objects and image analysis

• 
  Rizwan Khan, You Yang, Kejun Wu, Atif Mehmood, Zahid Hussain Qaisar, Zhonglong Zheng:
  A High Dynamic Range Imaging Method for Short Exposure Multiview Images. 109344

Various applications

• 
  Duona Zhang, Yuanyao Lu, Yundong Li, Wenrui Ding, Baochang Zhang, Jing Xiao:
  Frequency learning attention networks based on deep learning for automatic modulation classification in wireless communication. 109345

Objects and image analysis

• 
  Mingle Xu, Sook Yoon, Alvaro Fuentes, Dong Sun Park:
  A Comprehensive Survey of Image Augmentation Techniques for Deep Learning. 109347