Compositional models and Structured learning for visual recognition (English)
- New search for: Lin, Liang
- New search for: Lin, Liang
- New search for: Corso, Jason
- New search for: Zuo, Wangmeng
- New search for: Zhang, David
- New search for: Yao, Benjamin Z
In:
Pattern recognition
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59
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2016
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ISSN:
- Article (Journal) / Print
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Title:Compositional models and Structured learning for visual recognition
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Contributors:
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Published in:Pattern recognition ; 59 ; 1-4
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Publisher:
- New search for: Elsevier
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Place of publication:Amsterdam [u.a.]
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Publication date:2016
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ISSN:
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ZDBID:
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DOI:
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Type of media:Article (Journal)
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Type of material:Print
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Language:English
- New search for: 54.74 / 54.74
- Further information on Basic classification
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Keywords:
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Classification:
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Source:
Table of contents – Volume 59
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
- 1
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Compositional models and Structured learning for visual recognitionLin, Liang / Corso, Jason / Zuo, Wangmeng / Zhang, David / Yao, Benjamin Z. et al. | 2016
- 5
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Structure-Constrained Low-Rank and Partial Sparse Representation with Sample Selection for image classificationLiu, Yang / Li, Xueming / Liu, Chenyu / Liu, Haixu et al. | 2016
- 14
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Multi-spectral low-rank structured dictionary learning for face recognitionJing, Xiao-Yuan / Wu, Fei / Zhu, Xiaoke / Dong, Xiwei / Ma, Fei / Li, Zhiqiang et al. | 2016
- 26
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Adaptive noise dictionary construction via IRRPCA for face recognitionChen, Yu / Yang, Jian / Luo, Lei / Zhang, Hengmin / Qian, Jianjun / Tai, Ying / Zhang, Jian et al. | 2016
- 42
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Spectral–spatial hyperspectral image ensemble classification via joint sparse representationZhang, Erlei / Zhang, Xiangrong / Jiao, Licheng / Li, Lin / Hou, Biao et al. | 2016
- 55
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Sparsity-inducing dictionaries for effective action classificationRoy, Debaditya / Srinivas, M. / Krishna Mohan, C. et al. | 2016
- 63
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Towards effective codebookless model for image classificationWang, Qilong / Li, Peihua / Zhang, Lei / Zuo, Wangmeng et al. | 2016
- 72
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Face recognition using linear representation ensemblesLi, Hanxi / Shen, Fumin / Shen, Chunhua / Yang, Yang / Gao, Yongsheng et al. | 2015
- 88
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A discriminative representation for human action recognitionYuan, Yuan / Zheng, Xiangtao / Lu, Xiaoqiang et al. | 2016
- 98
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Category co-occurrence modeling for large scale scene recognitionSong, Xinhang / Jiang, Shuqiang / Herranz, Luis / Kong, Yan / Zheng, Kai et al. | 2016
- 112
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Dynamic background estimation and complementary learning for pixel-wise foreground/background segmentationGe, Weifeng / Guo, Zhenhua / Dong, Yuhan / Chen, Youbin et al. | 2016
- 126
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Convex hull indexed Gaussian mixture model (CH-GMM) for 3D point set registrationFan, Jingfan / Yang, Jian / Ai, Danni / Xia, Likun / Zhao, Yitian / Gao, Xing / Wang, Yongtian et al. | 2016
- 142
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Transformation invariant subspace clusteringLi, Qi / Sun, Zhenan / Lin, Zhouchen / He, Ran / Tan, Tieniu et al. | 2016
- 156
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Kinship-Guided Age ProgressionShu, Xiangbo / Tang, Jinhui / Lai, Hanjiang / Niu, Zhiheng / Yan, Shuicheng et al. | 2015
- 168
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Class relatedness oriented-discriminative dictionary learning for multiclass image classificationZhang, Dongyu / Liu, Pengju / Zhang, Kai / Zhang, Hongzhi / Wang, Qing / Jing, Xiaoyuan et al. | 2015
- 176
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Learning structure of stereoscopic image for no-reference quality assessment with convolutional neural networkZhang, Wei / Qu, Chenfei / Ma, Lin / Guan, Jingwei / Huang, Rui et al. | 2016
- 188
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Scene parsing using inference Embedded Deep NetworksBu, Shuhui / Han, Pengcheng / Liu, Zhenbao / Han, Junwei et al. | 2016
- 199
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Human action recognition using genetic algorithms and convolutional neural networksIjjina, Earnest Paul / Chalavadi, Krishna Mohan et al. | 2016
- 213
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Convolutional neural random fields for action recognitionLiu, Caihua / Liu, Jie / He, Zhicheng / Zhai, Yujia / Hu, Qinghua / Huang, Yalou et al. | 2016
- 225
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Robust Lane Detection using Two-stage Feature Extraction with Curve FittingNiu, Jianwei / Lu, Jie / Xu, Mingliang / Lv, Pei / Zhao, Xiaoke et al. | 2015
- 234
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Learning to segment with image-level annotationsWei, Yunchao / Liang, Xiaodan / Chen, Yunpeng / Jie, Zequn / Xiao, Yanhui / Zhao, Yao / Yan, Shuicheng et al. | 2016
- 245
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Extended compressed tracking via random projection based on MSERs and online LS-SVM learningGao, Yuefang / Shan, Xin / Hu, Zexi / Wang, Dong / Li, Ya / Tian, Xuhong et al. | 2016
- 255
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Hierarchical mixing linear support vector machines for nonlinear classificationWang, Di / Zhang, Xiaoqin / Fan, Mingyu / Ye, Xiuzi et al. | 2016
- 268
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Joint Depth and Semantic Inference from a Single Image via Elastic Conditional Random FieldJi, Rongrong / Cao, Liujuan / Wang, Yan et al. | 2016
- 282
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LSI: Latent semantic inference for natural image segmentationDong, Le / Feng, Ning / Zhang, Qianni et al. | 2016
- 292
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Integrated inference and learning of neural factors in structural support vector machinesHouthooft, Rein / De Turck, Filip et al. | 2016
- 302
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Video anomaly detection based on locality sensitive hashing filtersZhang, Ying / Lu, Huchuan / Zhang, Lihe / Ruan, Xiang / Sakai, Shun et al. | 2015
- 312
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Multi-scale context for scene labeling via flexible segmentation graphZhou, Quan / Zheng, Baoyu / Zhu, Weiping / Jan Latecki, Longin et al. | 2016
- 325
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Hierarchical semantic model and scattering mechanism based PolSAR image classificationLiu, Fang / Shi, Junfei / Jiao, Licheng / Liu, Hongying / Yang, Shuyuan / Wu, Jie / Hao, Hongxia / Yuan, Jialing et al. | 2016
- IFC
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Editorial Board| 2016