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Pattern Recognition, Volume 78
Volume 78, June 2018
- Andre G. Hochuli, Luiz S. Oliveira, Alceu de Souza Britto Jr., Robert Sabourin:
Handwritten digit segmentation: Is it still necessary? 1-11
- Juan Wang, Yongyi Yang:
A context-sensitive deep learning approach for microcalcification detection in mammograms. 12-22
- Kien Nguyen Thanh, Clinton Fookes, Sridha Sridharan, Massimo Tistarelli, Mark S. Nixon:
Super-resolution for biometrics: A comprehensive survey. 23-42 - Lifang Zhou, Yue-Wei Du, Weisheng Li, Jian-Xun Mi, Xiao Luan:
Pose-robust face recognition with Huffman-LBP enhanced by Divide-and-Rule strategy. 43-55
- Wei Zhang, Lan Du, Liling Li, Xuefeng Zhang, Hongwei Liu:
Infinite Bayesian one-class support vector machine based on Dirichlet process mixture clustering. 56-78
- Yan Cui, Jielin Jiang, Zhihui Lai, Zuojin Hu, Wai Keung Wong:
Supervised discrete discriminant hashing for image retrieval. 79-90
- Jovisa D. Zunic, Paul L. Rosin, Vladimir Ilic:
Disconnectedness: A new moment invariant for multi-component shapes. 91-102
- Bartosz Krawczyk, Bridget T. McInnes:
Local ensemble learning from imbalanced and noisy data for word sense disambiguation. 103-119
- Jiangning Gao, Adrian N. Evans:
Expression robust 3D face landmarking using thresholded surface normals. 120-132
- Christofer L. Bäcklin, Claes R. Andersson, Mats G. Gustafsson:
Self-tuning density estimation based on Bayesian averaging of adaptive kernel density estimations yields state-of-the-art performance. 133-143
- Siamak Mehrkanoon, Xiaolin Huang, Johan A. K. Suykens:
Indefinite kernel spectral learning. 144-153
- Yue Zhao, Xinge You, Shujian Yu, Chang Xu, Wei Yuan, Xiao-Yuan Jing, Taiping Zhang, Dacheng Tao:
Multi-view manifold learning with locality alignment. 154-166
- Yuan-Hai Shao, Chun-Na Li, Ming-Zeng Liu, Zhen Wang, Nai-Yang Deng:
Sparse Lq-norm least squares support vector machine with feature selection. 167-181
- Imene Khanfir Kallel, Shaban Almouahed, Bassel Solaiman, Éloi Bossé:
An iterative possibilistic knowledge diffusion approach for blind medical image segmentation. 182-197 - Zhenzhong Kuang, Jun Yu, Zongmin Li, Baopeng Zhang, Jianping Fan:
Integrating multi-level deep learning and concept ontology for large-scale visual recognition. 198-214
- Ajay Gupta, Adrian Barbu:
Parameterized principal component analysis. 215-227
- R. S. Medeiros, Alexander Wong, Jacob Scharcanski:
Scalable image segmentation via decoupled sub-graph compression. 228-241
- Wencheng Yang, Song Wang, Jiankun Hu, Guanglou Zheng, Craig Valli:
A fingerprint and finger-vein based cancelable multi-biometric system. 242-251
- Rui Yao, Guosheng Lin, Qinfeng Shi, Damith Chinthana Ranasinghe:
Efficient dense labelling of human activity sequences from wearables using fully convolutional networks. 252-266
- Xiwen Qu, Weiqiang Wang, Ke Lu, Jianshe Zhou:
In-air handwritten Chinese character recognition with locality-sensitive sparse representation toward optimized prototype classifier. 267-276
- Chunyu Hu, Yiqiang Chen, Lisha Hu, Xiaohui Peng:
A novel random forests based class incremental learning method for activity recognition. 277-290
- Hung Tuan Nguyen, Cuong Tuan Nguyen, Pham The Bao, Masaki Nakagawa:
A database of unconstrained Vietnamese online handwriting and recognition experiments by recurrent neural networks. 291-306
- Yang Liu, Kaiwen Wen, Quanxue Gao, Xinbo Gao, Feiping Nie:
SVM based multi-label learning with missing labels for image annotation. 307-317
- Vivek Venugopal, Suresh Sundaram:
An improved online writer identification framework using codebook descriptors. 318-330
- Artsiom Sanakoyeu, Miguel Ángel Bautista, Björn Ommer:
Deep unsupervised learning of visual similarities. 331-343
- Zizhao Zhang, Fuyong Xing, Hanzi Wang, Yan Yan, Ying Huang, Xiaoshuang Shi, Lin Yang:
Revisiting graph construction for fast image segmentation. 344-357
- Yazhou Yang, Marco Loog:
A variance maximization criterion for active learning. 358-370
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