Pattern Recognition, Volume 141

Volume 141, September 2023

Clustering

• 
  Tomás Bayer, Ivana Kolingerová, Markéta Potucková, Miroslav Cábelka, Eva Stefanová:
  An incremental facility location clustering with a new hybrid constrained pseudometric. 109520

Features

• 
  Fan Feng, Qi Liu, Zhanglin Peng, Ruimao Zhang, Rosa H. M. Chan:
  Community Channel-Net: Efficient channel-wise interactions via community graph topology. 109536

Machine learning

• 
  Ning Wang, Muyao Niu, Zhi Dou, Zhihui Wang, Zhiyong Wang, Zhaoyan Ming, Bin Liu, Haojie Li:
  Coloring anime line art videos with transformation region enhancement network. 109562

Handwriting and document analysis

• 
  Yu-Ting Yang, Yan-Ming Zhang, Xiao-Long Yun, Fei Yin, Cheng-Lin Liu:
  DyGAT: Dynamic stroke classification of online handwritten documents and sketches. 109564

Corrigendum

• 
  Guangtao Lyu, Kun Liu, Anna Zhu, Seiichi Uchida, Brian Kenji Iwana:
  Corrigendum to "FETNet: Feature Erasing and Transferring Network for Scene Text Removal": Pattern Recognition Volume 140 (2023) 109531. 109581

Objects and image analysis

• 
  Junjie Ma, Yaping Dai, Zhiyang Jia, Fuchun Sun, Yap-Peng Tan, Jun Liu:
  Crowd counting from single images using recursive multi-pathway zooming and foreground enhancement. 109585

Structural pattern recognition, network and graph methods

• 
  Jun Wang, Erlei Zhang, Shan Cui, Jiaxin Wang, Qunxi Zhang, Jianping Fan, Jinye Peng:
  GGD-GAN: Gradient-Guided dual-Branch adversarial networks for relic sketch generation. 109586

Classifiers and classification

• 
  Fengmao Lv, Jianyang Zhang, Guowu Yang, Lei Feng, Yufeng Yu, Lixin Duan:
  Learning cross-domain semantic-visual relationships for transductive zero-shot learning. 109591

Machine learning

• 
  Hongyu Hu, Qi Wang, Zhengguang Zhang, Zhengyi Li, Zhenhai Gao:
  Holistic transformer: A joint neural network for trajectory prediction and decision-making of autonomous vehicles. 109592

Various applications

• 
  Yitian Liu, Zhouhui Lian:
  FontTransformer: Few-shot high-resolution Chinese glyph image synthesis via stacked transformers. 109593

Classifiers and classification

• 
  Meihong Pan, Hongyi Xin, Chun-Qiu Xia, Hong-Bin Shen:
  Few-shot classification with task-adaptive semantic feature learning. 109594

Machine learning

• 
  Yong Liu, Xiaorong Hou:
  Local multi-scale feature aggregation network for real-time image dehazing. 109599
• 
  Adrien Foucart, Olivier Debeir, Christine Decaestecker:
  Evaluating participating methods in image analysis challenges: Lessons from MoNuSAC 2020. 109600

Kernel methods and manifold learning

• 
  Yingxu Wang, Long Chen, Jin Zhou, Tianjun Li, Yufeng Yu:
  Low-rank kernel regression with preserved locality for multi-class analysis. 109601

Objects and image analysis

• 
  Fei Zhou, Xin Sun, Junyu Dong, Xiao Xiang Zhu:
  SurroundNet: Towards effective low-light image enhancement. 109602
• 
  Ramesh Kumar Thakur, Suman Kumar Maji:
  Multi scale pixel attention and feature extraction based neural network for image denoising. 109603

Machine learning

• 
  Mostafa Shabani, Dat Thanh Tran, Juho Kanniainen, Alexandros Iosifidis:
  Augmented bilinear network for incremental multi-stock time-series classification. 109604

Features

• 
  Tomasz Klonecki, Pawel Teisseyre, Jaesung Lee:
  Cost-constrained feature selection in multilabel classification using an information-theoretic approach. 109605

Bio-medical patterns

• 
  Lu Wen, Jianghong Xiao, Jie Zeng, Chen Zu, Xi Wu, Jiliu Zhou, Xingchen Peng, Yan Wang:
  Multi-level progressive transfer learning for cervical cancer dose prediction. 109606

Machine learning

• 
  Luis Antonio Souto Arias, Cornelis W. Oosterlee, Pasquale Cirillo:
  AIDA: Analytic isolation and distance-based anomaly detection algorithm. 109607

Classifiers and classification

• 
  Liuyu Xiang, Jungong Han, Guiguang Ding:
  Margin-aware rectified augmentation for long-tailed recognition. 109608

Features

• 
  Zhizheng Liang, Lei Zhang:
  L1-norm discriminant analysis via Bhattacharyya error bounds under Laplace distributions. 109609

Objects and image analysis

• 
  Yang Zhang, Moyun Liu, Huiming Zhang, Guodong Sun, Jingwu He:
  Adaptive fusion affinity graph with noise-free online low-rank representation for natural image segmentation. 109611

Features

• 
  Deepak Kumar Rakesh, Prasanta K. Jana:
  An improved differential evolution algorithm for quantifying fraudulent transactions. 109623

Machine learning

• 
  Tianchi Liao, Zhebin Wu, Chuan Chen, Zibin Zheng, Xiongjun Zhang:
  Tensor completion via convolutional sparse coding with small samples-based training. 109624

Classifiers and classification

• 
  Shiding Sun, Xiaotong Yu, Yingjie Tian:
  Multi-view prototype-based disambiguation for partial label learning. 109625
• 
  Yifei Wang, Xue Wang, Cheng Chen, Hongli Gao, Adil Salhi, Xin Gao, Bin Yu:
  RPI-CapsuleGAN: Predicting RNA-protein interactions through an interpretable generative adversarial capsule network. 109626

Structural pattern recognition, network and graph methods

• 
  Xiao-Bao Yang, JunSheng Wu, Lang He, Sugang Ma, Zhiqiang Hou, Wei Sun:
  CPSS-FAT: A consistent positive sample selection for object detection with full adaptive threshold. 109627

Special Section on Practical Deep Learning in the Wild

• 
  Kunlin Liu, Ivan Perov, Daiheng Gao, Nikolay Chervoniy, Wenbo Zhou, Weiming Zhang:
  Deepfacelab: Integrated, flexible and extensible face-swapping framework. 109628

Objects and image analysis

• 
  Feiyu Meng, Xiaomei Gong, Yi Zhang:
  SiamRank: A siamese based visual tracking network with ranking strategy. 109630

Human movements and activities

• 
  Wenhao Li, Hong Liu, Hao Tang, Pichao Wang:
  Multi-hypothesis representation learning for transformer-based 3D human pose estimation. 109631

Features

• 
  Cheng Liang, Lianzhi Wang, Li Liu, Huaxiang Zhang, Fei Guo:
  Multi-view unsupervised feature selection with tensor robust principal component analysis and consensus graph learning. 109632

Objects and image analysis

• 
  Zheng Wang, Xing Xu, Yadan Luo, Guoqing Wang, Yang Yang:
  Hypercomplex context guided interaction modeling for scene graph generation. 109634

Machine learning

• 
  Adnan Ahmad, Wei Luo, Antonio Robles-Kelly:
  Robust federated learning under statistical heterogeneity via Hessian spectral decomposition. 109635

Objects and image analysis

• 
  Qiang Liu, Xiaohai He, Qizhi Teng, Linbo Qing, Honggang Chen:
  BDNet: A BERT-based dual-path network for text-to-image cross-modal person re-identification. 109636

Machine learning

• 
  Gonzalo Nápoles, Isel Grau, Agnieszka Jastrzebska, Yamisleydi Salgueiro:
  Presumably correct decision sets. 109640

Various applications

• 
  Luis Fernando Marin Sepulveda, Marcelo Gattass, Aristófanes Corrêa Silva, Roberto Quevedo, Diogo Michelon, Carlos Siedschlag, Roberto Ribeiro:
  Generalization of deep learning models for natural gas indication in 2D seismic data. 109642

Objects and image analysis

• 
  Seung-Min Choi, Seung-Ik Lee, Jae-Yeong Lee, In So Kweon:
  Semantic-guided de-attention with sharpened triplet marginal loss for visual place recognition. 109645

Machine learning

• 
  Eva Blanco-Mallo, Laura Morán-Fernández, Beatriz Remeseiro, Verónica Bolón-Canedo:
  Do all roads lead to Rome? Studying distance measures in the context of machine learning. 109646
• 
  Barbara Caroline Benato, Alexandru C. Telea, Alexandre X. Falcão:
  Deep feature annotation by iterative meta-pseudo-labeling on 2D projections. 109649

Data science and big data

• 
  Le Xu, Lei Cheng, Ngai Wong, Yik-Chung Wu:
  Tensor train factorization under noisy and incomplete data with automatic rank estimation. 109650

Classifiers and classification

• 
  Pengfang Li, Fang Liu, Licheng Jiao, Shuo Li, Lingling Li, Xu Liu, Xinyan Huang:
  Knowledge transduction for cross-domain few-shot learning. 109652
• 
  Dengxiu Yu, Qian Kang, Junwei Jin, Zhen Jane Wang, Xuelong Li:
  Smoothing group L1/2 regularized discriminative broad learning system for classification and regression. 109656

Machine learning

• 
  Bum Jun Kim, Hyeyeon Choi, Hyeonah Jang, Dong Gu Lee, Wonseok Jeong, Sang Woo Kim:
  Improved robustness of vision transformers via prelayernorm in patch embedding. 109659

Innovative Applications of Pattern Recognition

• 
  Zhiheng Fu, Siyu Hong, Mengyi Liu, Hamid Laga, Mohammed Bennamoun, Farid Boussaïd, Yulan Guo:
  Multi-stage information diffusion for joint depth and surface normal estimation. 109660

Structural pattern recognition, network and graph methods

• 
  Shuaiyi L(y)u, Kai Wang, Liren Zhang, Bailing Wang:
  Process-Oriented heterogeneous graph learning in GNN-Based ICS anomalous pattern recognition. 109661

Special Section on Practical Deep Learning in the Wild

• 
  Yang Zhang, Le Cheng, Yuting Peng, Chengming Xu, Yanwei Fu, Bo Wu, Guodong Sun:
  Faster OreFSDet: A lightweight and effective few-shot object detector for ore images. 109664

Objects and image analysis

• 
  Tongxue Zhou:
  Feature fusion and latent feature learning guided brain tumor segmentation and missing modality recovery network. 109665
• 
  Wanjun Zhang, Xiaohua Ding, Yang Liu, Baojun Qiao:
  Slide deep reinforcement learning networks: Application for left ventricle segmentation. 109667

Machine learning

• 
  Ming Zhang, Xuefei Zhe, Hong Yan:
  Orthonormal product quantization network for scalable face image retrieval. 109671