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Pattern Recognition, Volume 95
Volume 95, November 2019
- Xinying Pang, Xianli Pan, Yitian Xu:
Multi-parameter safe sample elimination rule for accelerating nonlinear multi-class support vector machines. 1-11
- Gaurav Bhatt, Piyush Jha, Balasubramanian Raman:
Representation learning using step-based deep multi-modal autoencoders. 12-23
- Jiancheng Sun, Yong Yang, Yanqing Liu, Chunlin Chen, Wenyuan Rao, Yaohui Bai:
Univariate time series classification using information geometry. 24-35
- Nuha Zamzami, Nizar Bouguila:
A Novel Scaled dirichlet-based statistical framework for count data modeling: Unsupervised learning and exponential approximation. 36-47
- Sheng Lan, Zhenhua Guo, Jane You:
A non-rigid registration method with application to distorted fingerprint matching. 48-57
- Dipanjyoti Paul, Sriparna Saha, Jimson Mathew:
Fusion of evolvable genome structure and multi-objective optimization for subspace clustering. 58-71
- Ping Zhang, Guixia Liu, Wanfu Gao:
Distinguishing two types of labels for multi-label feature selection. 72-82
- Kuldeep Kumar, Kaleem Siddiqi, Christian Desrosiers:
White matter fiber analysis using kernel dictionary learning and sparsity priors. 83-95
- Tien Thanh Nguyen, Manh Truong Dang, Anh Vu Luong, Alan Wee-Chung Liew, Tiancai Liang, John McCall:
Multi-label classification via incremental clustering on an evolving data stream. 96-113
- Meng Zhou, Xianhua Zeng, Aozhu Chen:
Deep forest hashing for image retrieval. 114-127
- Mohammad Jalilpour-Monesi, Sepideh Hajipour Sardouie:
Extended common spatial and temporal pattern (ECSTP): A semi-blind approach to extract features in ERP detection. 128-135 - Jia Zhang, Zhiming Luo, Candong Li, Changen Zhou, Shaozi Li:
Manifold regularized discriminative feature selection for multi-label learning. 136-150
- Yutian Lin, Liang Zheng, Zhedong Zheng, Yu Wu, Zhilan Hu, Chenggang Yan, Yi Yang:
Improving person re-identification by attribute and identity learning. 151-161
- Guillaume Tochon, Mauro Dalla Mura, Miguel Angel Veganzones, Thierry Géraud, Jocelyn Chanussot:
Braids of partitions for the hierarchical representation and segmentation of multimodal images. 162-172
- Tejas Indulal Dhamecha, Afzel Noore, Richa Singh, Mayank Vatsa:
Between-subclass piece-wise linear solutions in large scale kernel SVM learning. 173-190
- Myungjun Kim, Dong-Gi Lee, Hyunjung Shin:
Semi-supervised learning for hierarchically structured networks. 191-200 - Ying Tang:
Two-hop walks indicate PageRank order. 201-210 - Xiaoke Zhu, Xiao-Yuan Jing, Fan Zhang, Xinyu Zhang, Xinge You, Xiang Cui:
Distance learning by mining hard and easy negative samples for person re-identification. 211-222
- Yuan Zhu, Jiufeng Zhou, Hong Yan:
A unified formulation of a class of graph matching techniques. 223-234
- Sandro Cumani, Pietro Laface:
Exact memory-constrained UPGMA for large scale speaker clustering. 235-246
- Ernesto Bribiesca:
The spirals of the Slope Chain Code. 247-260
- Yao Sui, Guanghui Wang, Li Zhang:
Sparse subspace clustering via Low-Rank structure propagation. 261-271
- Bin Zhao, Lulu Hua, Xuelong Li, Xiaoqiang Lu, Zhigang Wang:
Weather recognition via classification labels and weather-cue maps. 272-284
- Fadi Dornaika, Libo Weng:
Sparse graphs with smoothness constraints: Application to dimensionality reduction and semi-supervised classification. 285-295 - Michalis Angelou, Vassilis Solachidis, Nicholas Vretos, Petros Daras:
Graph-based multimodal fusion with metric learning for multimodal classification. 296-307 - Qi Zhang, Jianlong Chang, Gaofeng Meng, Shibiao Xu, Shiming Xiang, Chunhong Pan:
Learning graph structure via graph convolutional networks. 308-318
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