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Pattern Recognition, Volume 59
Volume 59, November 2016
- Liang Lin, Jason J. Corso
, Wangmeng Zuo, David Zhang
Compositional models and Structured learning for visual recognition. 1-4 - Yang Liu
Structure-Constrained Low-Rank and Partial Sparse Representation with Sample Selection for image classification. 5-13 - Xiao-Yuan Jing, Fei Wu, Xiaoke Zhu, Xiwei Dong, Fei Ma, Zhiqiang Li:
Multi-spectral low-rank structured dictionary learning for face recognition. 14-25 - Yu Chen, Jian Yang, Lei Luo, Hengmin Zhang, Jianjun Qian, Ying Tai
Adaptive noise dictionary construction via IRRPCA for face recognition. 26-41 - Erlei Zhang, Xiangrong Zhang, Licheng Jiao
Spectral-spatial hyperspectral image ensemble classification via joint sparse representation. 42-54 - Debaditya Roy
Sparsity-inducing dictionaries for effective action classification. 55-62 - Qilong Wang, Peihua Li, Lei Zhang, Wangmeng Zuo:
Towards effective codebookless model for image classification. 63-71 - Hanxi Li, Fumin Shen, Chunhua Shen, Yang Yang, Yongsheng Gao
Face recognition using linear representation ensembles. 72-87 - Yuan Yuan, Xiangtao Zheng
A discriminative representation for human action recognition. 88-97 - Xinhang Song, Shuqiang Jiang, Luis Herranz
Category co-occurrence modeling for large scale scene recognition. 98-111 - Weifeng Ge, Zhenhua Guo
Dynamic background estimation and complementary learning for pixel-wise foreground/background segmentation. 112-125 - Jingfan Fan
Convex hull indexed Gaussian mixture model (CH-GMM) for 3D point set registration. 126-141 - Qi Li
Transformation invariant subspace clustering. 142-155 - Xiangbo Shu, Jinhui Tang
Kinship-Guided Age Progression. 156-167 - Dongyu Zhang
Class relatedness oriented-discriminative dictionary learning for multiclass image classification. 168-175 - Wei Zhang, Chenfei Qu, Lin Ma, Jingwei Guan, Rui Huang:
Learning structure of stereoscopic image for no-reference quality assessment with convolutional neural network. 176-187 - Shuhui Bu, Pengcheng Han, Zhenbao Liu, Junwei Han:
Scene parsing using inference Embedded Deep Networks. 188-198 - Earnest Paul Ijjina
Human action recognition using genetic algorithms and convolutional neural networks. 199-212 - Caihua Liu, Jie Liu, Zhicheng He, Yujia Zhai, Qinghua Hu, Yalou Huang:
Convolutional neural random fields for action recognition. 213-224 - Jianwei Niu, Jie Lu
Robust Lane Detection using Two-stage Feature Extraction with Curve Fitting. 225-233 - Yunchao Wei, Xiaodan Liang, Yunpeng Chen
Learning to segment with image-level annotations. 234-244 - Yuefang Gao, Xin Shan, Zexi Hu
Extended compressed tracking via random projection based on MSERs and online LS-SVM learning. 245-254 - Di Wang, Xiaoqin Zhang, Mingyu Fan
Hierarchical mixing linear support vector machines for nonlinear classification. 255-267 - Rongrong Ji, Liujuan Cao, Yan Wang:
Joint Depth and Semantic Inference from a Single Image via Elastic Conditional Random Field. 268-281 - Le Dong, Ning Feng, Qianni Zhang
LSI: Latent semantic inference for natural image segmentation. 282-291 - Rein Houthooft, Filip De Turck
Integrated inference and learning of neural factors in structural support vector machines. 292-301 - Ying Zhang, Huchuan Lu
Video anomaly detection based on locality sensitive hashing filters. 302-311 - Quan Zhou, Baoyu Zheng, Wei-Ping Zhu, Longin Jan Latecki
Multi-scale context for scene labeling via flexible segmentation graph. 312-324 - Fang Liu, Junfei Shi, Licheng Jiao
Hierarchical semantic model and scattering mechanism based PolSAR image classification. 325-342
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