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ORCIDPattern Recognition Letters, Volume 132
Volume 132, April 2020
- Yingying Zhu, Qing Xie, Kim-Han Thung:
Editorial special issue on multiple-task learning for big data. 1-3 - Wei Zheng
, Xiaofeng Zhu, Guoqiu Wen, Yonghua Zhu, Hao Yu, Jiangzhang Gan:
Unsupervised feature selection by self-paced learning regularization. 4-11 - Xiaodong Ning, Lina Yao, Xianzhi Wang, Boualem Benatallah, Manqing Dong, Shuai Zhang:
Rating prediction via generative convolutional neural networks based regression. 12-20 - Manqing Dong, Lina Yao, Xianzhi Wang, Boualem Benatallah, Chaoran Huang, Xiaodong Ning:
Opinion fraud detection via neural autoencoder decision forest. 21-29 - Jiangzhang Gan, Guoqiu Wen, Hao Yu, Wei Zheng, Cong Lei:
Supervised feature selection by self-paced learning regression. 30-37 - Haifeng Xia, Guocan Feng, Jia-xin Cai, Xin Tang, Hongmei Chi:
Embedded conformal deep low-rank auto-encoder network for matrix recovery. 38-45 - Hongmei Chi, Haifeng Xia, Lifang Zhang, Chunjiang Zhang, Xin Tang:
Competitive and collaborative representation for classification. 46-55 - Jirui Yuan, Ke Gao, Pengfei Zhu, Karen O. Egiazarian:
Multi-view predictive latent space learning. 56-61 - Jie Chen, Jie Shao, Chengkun He:
Movie fill in the blank by joint learning from video and text with adaptive temporal attention. 62-68 - Hao Yu, Guoqiu Wen, Jiangzhang Gan, Wei Zheng, Cong Lei:
Self-paced Learning for K-means Clustering Algorithm. 69-75 - Zhe Chen, Ruili Wang, Ming Yu, Hongmin Gao, Qi Li, Huibin Wang:
Spatial-temporal multi-task learning for salient region detection. 76-83 - Teng Zhang, Liangchen Liu, Kun Zhao, Arnold Wiliem, Graham Hemson, Brian C. Lovell:
Omni-supervised joint detection and pose estimation for wild animals. 84-90 - Shaoyi Du, Guanglin Xu, Sirui Zhang, Xuetao Zhang, Yue Gao, Badong Chen:
Robust rigid registration algorithm based on pointwise correspondence and correntropy. 91-98 - Deyin Liu, Liangchen Liu, Yun Tie, Lin Qi:
Multi-task image set classification via joint representation with class-level sparsity and intra-task low-rankness. 99-105 - Raid Lafta, Ji Zhang, Xiaohui Tao, Xiaodong Zhu, Hongzhou Li, Liang Chang, Ravinesh C. Deo:
A general extensible learning approach for multi-disease recommendations in a telehealth environment. 106-114 - Guangquan Lu, Xishun Zhao, Jian Yin, Weiwei Yang, Bo Li:
Multi-task learning using variational auto-encoder for sentiment classification. 115-122 - Moloud Abdar, Mariam Zomorodi Moghadam, Xujuan Zhou, Raj Gururajan, Xiaohui Tao, Prabal Datta Barua, Rashmi Gururajan:
A new nested ensemble technique for automated diagnosis of breast cancer. 123-131 - Xinghan Chen, Mingxing Zhang, Zheng Wang, Lin Zuo, Bo Li, Yang Yang:
Leveraging unpaired out-of-domain data for image captioning. 132-140
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