Pattern Recognition, Volume 96

Volume 96, December 2019

Face and biometrics

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  Weicheng Xie, Xi Jia, Linlin Shen, Meng Yang:
  Sparse deep feature learning for facial expression recognition.

Bio-medical patterns

• 
  Byunghwan Jeon, Yeonggul Jang, Hackjoon Shim, Hyuk-Jae Chang:
  Identification of coronary arteries in CT images by Bayesian analysis of geometric relations among anatomical landmarks.

Features

• 
  Ganchao Liu, Lingling Li, Licheng Jiao, Yongsheng Dong, Xuelong Li:
  Stacked Fisher autoencoder for SAR change detection.
• 
  Chengzu Bai, Ren Zhang, Zeshui Xu, Rui Cheng, Baogang Jin, Jian Chen:
  L1-norm-based kernel entropy components.

Clustering

• 
  Alper Aksaç, Tansel Özyer, Reda Alhajj:
  CutESC: Cutting edge spatial clustering technique based on proximity graphs.
• 
  Nikolaos Passalis, Anastasios Tefas:
  Discriminative clustering using regularized subspace learning.
• 
  Yi Chen, Lynne Billard:
  A study of divisive clustering with Hausdorff distances for interval data.

Classifiers and classification

• 
  Zhi Chen, Pin-Han Ho:
  Global-connected network with generalized ReLU activation.
• 
  Aida de Haro-García, Gonzalo Cerruela García, Nicolás García-Pedrajas:
  Instance selection based on boosting for instance-based learners.
• 
  Hongzhi Liu, Yingpeng Du, Zhonghai Wu:
  AEM: Attentional Ensemble Model for personalized classifier weight learning.
• 
  Mahsa Taheri, Zahra Moslehi, Abdolreza Mirzaei, Mehran Safayani:
  A self-adaptive local metric learning method for classification.
• 
  Blaise Hanczar:
  Performance visualization spaces for classification with rejection option.
• 
  Sandamal Weerasinghe, Sarah M. Erfani, Tansu Alpcan, Christopher Leckie:
  Support vector machines resilient against training data integrity attacks.

Handwriting and document analysis

• 
  Jinyuan Zhao, Cunzhao Shi, Fuxi Jia, Yanna Wang, Baihua Xiao:
  Document image binarization with cascaded generators of conditional generative adversarial networks.
• 
  Haisong Ding, Kai Chen, Qiang Huo:
  Compressing CNN-DBLSTM models for OCR with teacher-student learning and Tucker decomposition.
• 
  Zhuoyao Zhong, Lei Sun, Qiang Huo:
  Improved localization accuracy by LocNet for Faster R-CNN based text detection in natural scene images.

Human movements and activities

• 
  Chunfeng Song, Yongzhen Huang, Yan Huang, Ning Jia, Liang Wang:
  GaitNet: An end-to-end network for gait based human identification.

Objects and image analysis

• 
  Mingyang Qian, Jinqing Qi, Lihe Zhang, Mengyang Feng, Huchuan Lu:
  Language-aware weak supervision for salient object detection.
• 
  Ayan Kumar Bhunia, Ankan Kumar Bhunia, Shuvozit Ghose, Abhirup Das, Partha Pratim Roy, Umapada Pal:
  A deep one-shot network for query-based logo retrieval.
• 
  Lingling Zhang, Jun Liu, Minnan Luo, Xiaojun Chang, Qinghua Zheng, Alexander G. Hauptmann:
  Scheduled sampling for one-shot learning via matching network.
• 
  Chenglong Li, Xinyan Liang, Yijuan Lu, Nan Zhao, Jin Tang:
  RGB-T object tracking: Benchmark and baseline.
• 
  Yixing Zhu, Chixiang Ma, Jun Du:
  Rotated cascade R-CNN: A shape robust detector with coordinate regression.
• 
  Feng Cheng, Shi-Lin Wang, Xizi Wang, Alan Wee-Chung Liew, Gongshen Liu:
  A global and local context integration DCNN for adult image classification.
• 
  Yinjie Lei, Ziqin Zhou, Pingping Zhang, Yulan Guo, Zijun Ma, Lingqiao Liu:
  Deep point-to-subspace metric learning for sketch-based 3D shape retrieval.
• 
  Min Li, Yao Zhang, Mingqing Xiao, Chen Xu, Weiqiang Zhang:
  On Schatten-q quasi-norm induced matrix decomposition model for salient object detection.
• 
  Yuming Fang, Xiaoqiang Zhang, Feiniu Yuan, Nevrez Imamoglu, Haiwen Liu:
  Video saliency detection by gestalt theory.

Various applications

• 
  Ganggang Dong, Hongwei Liu, Gangyao Kuang, Jocelyn Chanussot:
  Target recognition in SAR images via sparse representation in the frequency domain.
• 
  Yang Cong, Baojie Fan, Dongdong Hou, Huijie Fan, Kaizhou Liu, Jiebo Luo:
  Novel event analysis for human-machine collaborative underwater exploration.
• 
  Weiwei Qian, Shunming Li, Xingxing Jiang:
  Deep transfer network for rotating machine fault analysis.

Machine learning

• 
  Yu-Feng Yu, Chuan-Xian Ren, Min Jiang, Man-Yu Sun, Dao-Qing Dai, Guodong Guo:
  Sparse approximation to discriminant projection learning and application to image classification.
• 
  Filippo Maria Bianchi, Lorenzo Livi, Karl Øyvind Mikalsen, Michael Kampffmeyer, Robert Jenssen:
  Learning representations of multivariate time series with missing data.
• 
  Chun-Yang Zhang, Qi Zhao, C. L. Philip Chen, Wenxi Liu:
  Deep compression of probabilistic graphical networks.
• 
  Chuan-Xian Ren, Xiao-Lin Xu, Zhen Lei:
  A Deep and Structured Metric Learning Method for Robust Person Re-Identification.
• 
  Inpyo Hong, Youngbae Hwang, Daeyoung Kim:
  Efficient deep learning of image denoising using patch complexity local divide and deep conquer.

Kernel methods and manifold learning

• 
  Wenyu Zhang, Zhenjiang Zhang, Lifu Wang, Han-Chieh Chao, Zhangbing Zhou:
  Extreme learning machines with expectation kernels.

Data science and big data

• 
  Gianluca Gazzola, Myong Kee Jeong:
  Dependence-biased clustering for variable selection with random forests.

Structural pattern recognition, network and graph methods

• 
  Javier Alvaro Vargas Muñoz, Marcos André Gonçalves, Zanoni Dias, Ricardo da Silva Torres:
  Hierarchical Clustering-Based Graphs for Large Scale Approximate Nearest Neighbor Search.

Corrigendum

• 
  Jos B. T. M. Roerdink:
  Corrigendum to "Group morphology" [Pattern Recognition 33(6) (2000) 877-895].

Special Section on Advances in Representation Learning

• 
  Takehiro Kajihara, Takuya Funatomi, Haruyuki Makishima, Takahito Aoto, Hiroyuki Kubo, Shigehito Yamada, Yasuhiro Mukaigawa:
  Non-rigid registration of serial section images by blending transforms for 3D reconstruction.

Special Section on Scene Text Reading and its Applications

• 
  Jun Tang, Zhibo Yang, Yongpan Wang, Qi Zheng, Yongchao Xu, Xiang Bai:
  SegLink++: Detecting Dense and Arbitrary-shaped Scene Text by Instance-aware Component Grouping.

Special Section on Domain Adaptation for Visual Understanding

• 
  Rameswar Panda, Amran Bhuiyan, Vittorio Murino, Amit K. Roy-Chowdhury:
  Adaptation of person re-identification models for on-boarding new camera(s).
• 
  Jian Liang, Ran He, Zhenan Sun, Tieniu Tan:
  Exploring uncertainty in pseudo-label guided unsupervised domain adaptation.
• 
  Samitha Herath, Basura Fernando, Mehrtash Harandi:
  Using temporal information for recognizing actions from still images.