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ORCIDPattern Recognition, Volume 75
Volume 75, March 2018
- Jiwen Lu
, Ruiping Wang, Ajmal S. Mian, Ajay Kumar, Sudeep Sarkar:
Distance metric learning for pattern recognition. 1-3 - Ran He, Tieniu Tan, Larry S. Davis, Zhenan Sun:
Learning structured ordinal measures for video based face recognition. 4-14 - Haibin Yan, Junlin Hu:
Video-based kinship verification using distance metric learning. 15-24 - Jinhui Tang, Zechao Li, Xiang Zhu:
Supervised deep hashing for scalable face image retrieval. 25-32 - Haibin Yan:
Collaborative discriminative multi-metric learning for facial expression recognition in video. 33-40 - Xiuzhuang Zhou, Kai Jin, Qian Chen, Min Xu, Yuanyuan Shang:
Multiple face tracking and recognition with identity-specific localized metric learning. 41-50 - Ya Li, Guangrun Wang, Lin Nie, Qing Wang, Wenwei Tan:
Distance metric optimization driven convolutional neural network for age invariant face recognition. 51-62 - Ju Dai, Ying Zhang, Huchuan Lu, Hongyu Wang:
Cross-view semantic projection learning for person re-identification. 63-76 - Chi Su, Shiliang Zhang, Junliang Xing, Wen Gao, Qi Tian:
Multi-type attributes driven multi-camera person re-identification. 77-89 - Zhicheng Zhao, Binlin Zhao, Fei Su:
Person re-identification via integrating patch-based metric learning and local salience learning. 90-98 - Yutao Ren, Xuelong Li, Xiaoqiang Lu:
Feedback mechanism based iterative metric learning for person re-identification. 99-111 - Weiqi Zhao, Zhang Zhang, Kaiqi Huang:
Gestalt laws based tracklets analysis for human crowd understanding. 112-127 - Yadan Luo, Yang Yang, Fumin Shen, Zi Huang, Pan Zhou, Heng Tao Shen:
Robust discrete code modeling for supervised hashing. 128-135 - Xiao Bai, Cheng Yan, Haichuan Yang, Lu Bai, Jun Zhou, Edwin Robert Hancock:
Adaptive hash retrieval with kernel based similarity. 136-148 - Zhixiang Chen, Jie Zhou:
Collaborative multiview hashing. 149-160 - Daniel Carlos Guimarães Pedronette, Filipe Marcel Fernandes Gonçalves, Ivan Rizzo Guilherme:
Unsupervised manifold learning through reciprocal kNN graph and Connected Components for image retrieval tasks. 161-174 - Jingkuan Song, Lianli Gao, Li Liu, Xiaofeng Zhu, Nicu Sebe:
Quantization-based hashing: a general framework for scalable image and video retrieval. 175-187 - Jianqing Liang, Qinghua Hu, Pengfei Zhu, Wenwu Wang:
Efficient multi-modal geometric mean metric learning. 188-198 - Juan-Hui Li, Chang-Dong Wang, Pei-Zhen Li, Jian-Huang Lai:
Discriminative metric learning for multi-view graph partitioning. 199-213 - Nengneng Gao, Sheng-Jun Huang, Yifan Yan, Songcan Chen:
Cross modal similarity learning with active queries. 214-222 - Xinjian Gao, Tingting Mu, John Yannis Goulermas, Meng Wang:
Topic driven multimodal similarity learning with multi-view voted convolutional features. 223-234 - Luís A. M. Pereira, Ricardo da Silva Torres:
Semi-supervised transfer subspace for domain adaptation. 235-249 - Deming Zhai, Xianming Liu, Hong Chang, Yi Zhen, Xilin Chen, Maozu Guo, Wen Gao:
Parametric local multiview hamming distance metric learning. 250-262 - Min Liu, Rong Gong, Weixun Chen, Hanchuan Peng:
3D neuron tip detection in volumetric microscopy images using an adaptive ray-shooting model. 263-271 - Qi Wang, Jia Wan, Yuan Yuan:
Locality constraint distance metric learning for traffic congestion detection. 272-281 - Junlin Hu, Yap-Peng Tan:
Nonlinear dictionary learning with application to image classification. 282-291 - Zhicheng Jiao, Xinbo Gao, Ying Wang, Jie Li:
A parasitic metric learning net for breast mass classification based on mammography. 292-301 - Wenbin Li, Yang Gao, Lei Wang, Luping Zhou, Jing Huo, Yinghuan Shi:
OPML: A one-pass closed-form solution for online metric learning. 302-314 - Julien Bohné, Yiming Ying, Stéphane Gentric, Massimiliano Pontil:
Learning local metrics from pairwise similarity data. 315-326 - Wenbin Li, Da Chen, Zhihan Lv, Yan Yan, Darren Cosker:
Learn to model blurry motion via directional similarity and filtering. 327-338
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