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ACCV
2010
Springer
8 years 7 months ago
Image Classification Using Spatial Pyramid Coding and Visual Word Reweighting
The ignorance on spatial information and semantics of visual words becomes main obstacles in the bag-of-visual-words (BoW) method for image classification. To address the obstacles...
Chunjie Zhang, Jing Liu, Jinqiao Wang, Qi Tian, Ch...
CVPR
2009
IEEE
1976views Computer Vision» more  CVPR 2009»
10 years 7 months ago
Linear Spatial Pyramid Matching Using Sparse Coding for Image Classification
Recently SVMs using spatial pyramid matching (SPM) kernel have been highly successful in image classification. Despite its popularity, these nonlinear SVMs have a complexity O(n...
Jianchao Yang, Kai Yu, Yihong Gong, Thomas S. Huan...
ICCV
2007
IEEE
10 years 2 months ago
Image Classification using Random Forests and Ferns
We explore the problem of classifying images by the object categories they contain in the case of a large number of object categories. To this end we combine three ingredients: (i...
Andrew Zisserman, Anna Bosch, Xavier Muñoz
ICPR
2010
IEEE
8 years 10 months ago
Scene Classification Using Spatial Pyramid of Latent Topics
We propose a scene classification method, which combines two popular methods in the literature: Spatial Pyramid Matching (SPM) and probabilistic Latent Semantic Analysis (pLSA) mod...
Emrah Ergul, Nafiz Arica
ECCV
2010
Springer
9 years 4 months ago
Kernel Sparse Representation for Image Classification and Face Recognition
Recent research has shown the effectiveness of using sparse coding(Sc) to solve many computer vision problems. Motivated by the fact that kernel trick can capture the nonlinear sim...
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