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» Testing Properties of Sparse Images
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CVPR
2009
IEEE
1976views Computer Vision» more  CVPR 2009»
16 years 4 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...
DAGM
2008
Springer
14 years 11 months ago
Model-Based Motion Capture for Crash Test Video Analysis
Abstract. In this work, we propose a model-based approach for estimating the 3D position and orientation of a dummy's head for crash test video analysis. Instead of relying on...
Juergen Gall, Bodo Rosenhahn, Stefan Gehrig, Hans-...
ICIP
2001
IEEE
15 years 11 months ago
On sparse signal representations
An elementary proof of a basic uncertainty principle concerning pairs of representations of ?? vectors in different orthonormal bases is provided. The result, slightly stronger th...
Michael Elad, Alfred M. Bruckstein
ICASSP
2011
IEEE
14 years 1 months ago
Learning sparse dictionaries with a popularity-based model
Sparse signal representation based on overcomplete dictionaries has recently been extensively investigated, rendering the state-of-the-art results in signal, image and video proce...
Jianzhou Feng, Li Song, Xiaoming Huo, Xiaokang Yan...
CVPR
2008
IEEE
15 years 11 months ago
Simultaneous image transformation and sparse representation recovery
Sparse representation in compressive sensing is gaining increasing attention due to its success in various applications. As we demonstrate in this paper, however, image sparse rep...
Junzhou Huang, Xiaolei Huang, Dimitris N. Metaxas