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ORCIDPattern Recognition Letters, Volume 119
Volume 119, March 2019
- Zhaoxiang Zhang, Shiguang Shan
, Yi Fang, Ling Shao:
Deep Learning for Pattern Recognition. 1-2 - Jindong Wang, Yiqiang Chen, Shuji Hao, Xiaohui Peng, Lisha Hu:
Deep learning for sensor-based activity recognition: A survey. 3-11
- Xinlei Wei, Junping Du, MeiYu Liang, Lingfei Ye:
Boosting deep attribute learning via support vector regression for fast moving crowd counting. 12-23 - Jing Zhu, John-Ross Rizzo, Yi Fang:
Learning domain-invariant feature for robust depth-image-based 3D shape retrieval. 24-33 - Chunyan Xu, Jian Yang, Hanjiang Lai, Junbin Gao, Linlin Shen, Shuicheng Yan:
UP-CNN: Un-pooling augmented convolutional neural network. 34-40 - Zongxiao Zhu, Cong Rao, Song Bai, Longin Jan Latecki:
Training convolutional neural network from multi-domain contour images for 3D shape retrieval. 41-48 - Ning Sun, Qi Li, Ruizhi Huan, Jixin Liu, Guang Han:
Deep spatial-temporal feature fusion for facial expression recognition in static images. 49-61 - Lijuan Duan, Qing En, Yuanhua Qiao, Song Cui, Laiyun Qing:
Deep feature representation based on privileged knowledge transfer. 62-70
- Tehseen Zia:
Hierarchical recurrent highway networks. 71-76 - Philip Kinghorn, Li Zhang, Ling Shao:
A hierarchical and regional deep learning architecture for image description generation. 77-85 - Lerenhan Li, Nong Sang, Luxin Yan, Changxin Gao:
Motion-blur kernel size estimation via learning a convolutional neural network. 86-93
- Yuliang Liu, Lianwen Jin, Songxuan Lai:
Automatic labeling of large amounts of handwritten characters with gate-guided dynamic deep learning. 94-102 - Samuele Capobianco, Simone Marinai:
Deep neural networks for record counting in historical handwritten documents. 103-111 - Dena Bazazian, Raul Gomez, Anguelos Nicolaou, Lluís Gómez, Dimosthenis Karatzas, Andrew D. Bagdanov:
FAST: Facilitated and Accurate Scene Text Proposals through FCN Guided Pruning. 112-120
- Maneet Singh, Shruti Nagpal, Mayank Vatsa, Richa Singh:
Are you eligible? Predicting adulthood from face images via Class Specific Mean Autoencoder. 121-130 - Wentao Wei, Yongkang Wong, Yu Du, Yu Hu, Mohan S. Kankanhalli, Weidong Geng:
A multi-stream convolutional neural network for sEMG-based gesture recognition in muscle-computer interface. 131-138 - Fandong Zhang, Shiyuan Xin, Jufu Feng:
Combining global and minutia deep features for partial high-resolution fingerprint matching. 139-147 - Cihui Xie, Ajay Kumar:
Finger vein identification using Convolutional Neural Network and supervised discrete hashing. 148-156 - Akshay Sethi, Maneet Singh, Richa Singh, Mayank Vatsa:
Residual Codean Autoencoder for Facial Attribute Analysis. 157-165
- Dingding Cai, Ke Chen, Yanlin Qian, Joni-Kristian Kämäräinen:
Convolutional low-resolution fine-grained classification. 166-171 - Wei Ke, Jie Chen, Qixiang Ye:
Deep contour and symmetry scored object proposal. 172-179 - Dan Zeng, Fan Zhao, Shiming Ge, Wei Shen:
Fast cascade face detection with pyramid network. 180-186 - Yunan Li, Qiguang Miao, Kuan Tian, Yingying Fan, Xin Xu, Zhenxin Ma, Jianfeng Song:
Large-scale gesture recognition with a fusion of RGB-D data based on optical flow and the C3D model. 187-194 - Pengpeng Yang, Rongrong Ni, Yao Zhao, Wei Zhao:
Source camera identification based on content-adaptive fusion residual networks. 195-204 - Qing Fan, Xukun Shen, Yong Hu, Changjian Yu:
Simple very deep convolutional network for robust hand pose regression from a single depth image. 205-213 - Zahraa Al-Milaji, Ilker Ersoy, Adel Hafiane, Kannappan Palaniappan, Filiz Bunyak:
Integrating segmentation with deep learning for enhanced classification of epithelial and stromal tissues in H&E images. 214-221 - Mingliang Xu, Fang Hao, Pei Lv, Lisha Cui, Shuo Zhang, Bing Zhou:
D-STC: Deep learning with spatio-temporal constraints for train drivers detection from videos. 222-228 - Xinwei He, Baoguang Shi, Xiang Bai, Gui-Song Xia, Zhaoxiang Zhang, Weisheng Dong:
Image Caption Generation with Part of Speech Guidance. 229-237 - Ce Li, Xinyu Zhao, Zhaoxiang Zhang, Shaoyi Du:
Generative adversarial dehaze mapping nets. 238-244
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