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(2019) Pattern Recognition Vol. 92. Elsevier BV

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Reference TypeJournal (volume)
JournalPattern Recognition
Year2019Volume<   92   >
PublisherElsevier BV
Mindat Ref. ID9367789Long-form Identifiermindat:1:5:9367789:9
GUID0
Full Reference(2019) Pattern Recognition Vol. 92. Elsevier BV
Plain Text(2019) Pattern Recognition Vol. 92. Elsevier BV
InElsevier BV (1968 - 2020) Pattern Recognition

Contains

(2019) Editorial Board. Pattern Recognition, 92. doi:10.1016/s0031-3203(19)30156-6
Gao, Zhi, Wu, Yuwei, Bu, Xingyuan, Yu, Tan, Yuan, Junsong, Jia, Yunde (2019) Learning a robust representation via a deep network on symmetric positive definite manifolds. Pattern Recognition, 92. 1-12 doi:10.1016/j.patcog.2019.03.007
Hao, Wangli, Zhang, Zhaoxiang (2019) Spatiotemporal distilled dense-connectivity network for video action recognition. Pattern Recognition, 92. 13-24 doi:10.1016/j.patcog.2019.03.005
Strisciuglio, Nicola, Vento, Mario, Petkov, Nicolai (2019) Learning representations of sound using trainable COPE feature extractors. Pattern Recognition, 92. 25-36 doi:10.1016/j.patcog.2019.03.016
You, Xinge, Xu, Jiamiao, Yuan, Wei, Jing, Xiao-Yuan, Tao, Dacheng, Zhang, Taiping (2019) Multi-view common component discriminant analysis for cross-view classification. Pattern Recognition, 92. 37-51 doi:10.1016/j.patcog.2019.03.008
Chai, Dengfeng (2019) SQL: Superpixels via quaternary labeling. Pattern Recognition, 92. 52-63 doi:10.1016/j.patcog.2019.03.012
Wei, Wei, Zhou, Bin, Połap, Dawid, Woźniak, Marcin (2019) A regional adaptive variational PDE model for computed tomography image reconstruction. Pattern Recognition, 92. 64-81 doi:10.1016/j.patcog.2019.03.009
Baelde, Maxime, Biernacki, Christophe, Greff, Raphaël (2019) Real-Time monophonic and polyphonic audio classification from power spectra. Pattern Recognition, 92. 82-92 doi:10.1016/j.patcog.2019.03.017
Zhong, Caiming, Hu, Lianyu, Yue, Xiaodong, Luo, Ting, Fu, Qiang, Xu, Haiyong (2019) Ensemble clustering based on evidence extracted from the co-association matrix. Pattern Recognition, 92. 93-106 doi:10.1016/j.patcog.2019.03.020
Borjigin, Surina, Sahoo, Prasanna K. (2019) Color image segmentation based on multi-level Tsallis–Havrda–Charvát entropy and 2D histogram using PSO algorithms. Pattern Recognition, 92. 107-118 doi:10.1016/j.patcog.2019.03.011
Zhang, Qiang, Huo, Zhen, Liu, Yi, Pan, Yunhui, Shan, Caifeng, Han, Jungong (2019) Salient object detection employing a local tree-structured low-rank representation and foreground consistency. Pattern Recognition, 92. 119-134 doi:10.1016/j.patcog.2019.03.023
Liu, Hongsen, Cong, Yang, Yang, Chenguang, Tang, Yandong (2019) Efficient 3D object recognition via geometric information preservation. Pattern Recognition, 92. 135-145 doi:10.1016/j.patcog.2019.03.025
Bernard, Florian, Thunberg, Johan, Goncalves, Jorge, Theobalt, Christian (2019) Synchronisation of partial multi-matchings via non-negative factorisations. Pattern Recognition, 92. 146-155 doi:10.1016/j.patcog.2019.03.021
Ma, Qing, Bai, Cong, Zhang, Jinglin, Liu, Zhi, Chen, Shengyong (2019) Supervised learning based discrete hashing for image retrieval. Pattern Recognition, 92. 156-164 doi:10.1016/j.patcog.2019.03.022
Huang, Linjiang, Huang, Yan, Ouyang, Wanli, Wang, Liang (2019) Part-aligned pose-guided recurrent network for action recognition. Pattern Recognition, 92. 165-176 doi:10.1016/j.patcog.2019.03.010
Xie, Siyue, Hu, Haifeng, Wu, Yongbo (2019) Deep multi-path convolutional neural network joint with salient region attention for facial expression recognition. Pattern Recognition, 92. 177-191 doi:10.1016/j.patcog.2019.03.019
Ye, Rui, Dai, Qun, Li, MeiLing (2019) A hybrid transfer learning algorithm incorporating TrSVM with GASEN. Pattern Recognition, 92. 192-202 doi:10.1016/j.patcog.2019.03.027
Ghosh, Rajib, Vamshi, Chirumavila, Kumar, Prabhat (2019) RNN based online handwritten word recognition in Devanagari and Bengali scripts using horizontal zoning. Pattern Recognition, 92. 203-218 doi:10.1016/j.patcog.2019.03.030
Shang, Ronghua, Meng, Yang, Wang, Wenbing, Shang, Fanhua, Jiao, Licheng (2019) Local discriminative based sparse subspace learning for feature selection. Pattern Recognition, 92. 219-230 doi:10.1016/j.patcog.2019.03.026
Ma, Jiayi, Jiang, Xingyu, Jiang, Junjun, Gao, Yuan (2019) Feature-guided Gaussian mixture model for image matching. Pattern Recognition, 92. 231-245 doi:10.1016/j.patcog.2019.04.001
Li, Chaorong, Huang, Yuanyuan, Yang, Xingchun, Chen, Huafu (2019) Marginal distribution covariance model in the multiple wavelet domain for texture representation. Pattern Recognition, 92. 246-257 doi:10.1016/j.patcog.2019.04.003
Yi, Yugen, Wang, Jianzhong, Zhou, Wei, Fang, Yuming, Kong, Jun, Lu, Yinghua (2019) Joint graph optimization and projection learning for dimensionality reduction. Pattern Recognition, 92. 258-273 doi:10.1016/j.patcog.2019.03.024
Bai, Peizhen, Ge, Yan, Liu, Fangling, Lu, Haiping (2019) Corrigendum to ``Joint interaction with context operation for collaborative filtering'' [Pattern Recognition 88 (2019) 729-738]. Pattern Recognition, 92. 274pp. doi:10.1016/j.patcog.2019.03.018

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