Lazebnik S, Schmid C, Ponce J. Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories / / Proc of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. New York, USA, 2006, II: 2169-2178
[2]
Boureau Y, Bach F, LeCun Y, et al. Learning MidLevel Features for Recognition / / Proc of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. San Francisco, USA,2010: 2559-2566
[3]
Lowe D. Distinctive Image Features from ScaleInvariant Keypoints.International Journal of Computer Vision, 2004, 60(2): 91-110
[4]
Sivic J, Zisserman A. Video Google: A Text Retrieval Approach to Object Matching in Videos / / Proc of the 9th IEEE International Conference on Computer Vision. Nice, France, 2003,域: 1470-1477
[5]
Aharon M, Elad M, Bruckstein A. KSVD: An Algorithm for Designing Overcomplete Dictionaries for Sparse Representation.IEEE Trans on Signal Processing, 2006, 54(11): 4311-4322
[6]
Jiang Yuguang, Ngo C W. Visual Word Proximity and Linguistics for Semantic Video Indexing and NearDuplicate Retrieval. Compu ter Vision and Image Understanding, 2009, 113(3): 405-414
[7]
Jurie F, Triggs B. Creating Efficient Codebooks for Visual Recogni tion / / Proc of the 10th International Conference on ComputerVision. Beijing, China, 2005, I: 604-610
[8]
Boiman O, Shechtman E, Irani M. In Defense of NearestNeighbor Based Image Classification / / Proc of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Ancho rage, USA, 2008: 1-8
[9]
Gemert J, Geusebroek J, Veenman C, et al. Kernel Codebooks for Scene Categorization / / Proc of the 10th European Conference on Computer Vision. Marseille, France, 2008: 696-709
[10]
Coates A, Ng A Y. The Importance of Encoding versus Training with Sparse Coding and Vector Quantization / / Proc of the 28th International Conference on Machine Learning. Bellevue, USA, 2011: 921-928
[11]
Yang Jianchao, Yu Kai, Gong Yihong, et al. Linear Spatial Pyra mid Matching Using Sparse Coding for Image Classification / / Proc of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Miami, USA, 2009: 1794-1801
[12]
Wang Jinjun, Yang Jianchao, Yu Kai, et al. LocalityConstrained Linear Coding for Image Classification / / Proc of the IEEE Com puter Society Conference on Computer Vision and Pattern Recogni tion. San Francisco, USA, 2010: 3360-3367
[13]
Jegou H, Douze M, Schmid C. Hamming Embedding and Weak Geometric Consistency for Large Scale Image Search / / Proc of the 10th European Conference on Computer Vision. Marseille,France, 2008: 304-317
[14]
Zhou Xi, Yu Kai, Zhang Tong, et al. Image Classification Using SuperVector Coding of Local Image Descriptors / / Proc of the 11thEuropean Conference on Computer Vision. Heraklion, Greece,2010: 141-154
[15]
Yu Kai, Zhang Tong, Gong Yihong. Nonlinear Learning Using Local Coordinate Coding / / Proc of the Annual Conference on Neural Information Systems. Vancouver, Canada, 2009: 2223-2231