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» Efficient Projection for Compressed Sensing
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KDD
2004
ACM
216views Data Mining» more  KDD 2004»
14 years 10 months ago
GPCA: an efficient dimension reduction scheme for image compression and retrieval
Recent years have witnessed a dramatic increase in the quantity of image data collected, due to advances in fields such as medical imaging, reconnaissance, surveillance, astronomy...
Jieping Ye, Ravi Janardan, Qi Li
ICASSP
2008
IEEE
14 years 4 months ago
Subspace compressive detection for sparse signals
The emerging theory of compressed sensing (CS) provides a universal signal detection approach for sparse signals at sub-Nyquist sampling rates. A small number of random projection...
Zhongmin Wang, Gonzalo R. Arce, Brian M. Sadler
TMM
2002
158views more  TMM 2002»
13 years 9 months ago
Foveated video quality assessment
Most image and video compression algorithms that have been proposed to improve picture quality relative to compression efficiency have either been designed based on objective crite...
Sanghoon Lee, Marios S. Pattichis, Alan C. Bovik
PR
2010
170views more  PR 2010»
13 years 8 months ago
Sparsity preserving projections with applications to face recognition
: Dimensionality reduction methods (DRs) have commonly been used as a principled way to understand the high-dimensional data such as face images. In this paper, we propose a new un...
Lishan Qiao, Songcan Chen, Xiaoyang Tan
ICASSP
2009
IEEE
14 years 4 months ago
Joint reconstruction of compressed multi-view images
This paper proposes a distributed representation algorithm for multi-view images that are jointly reconstructed at the decoder. Compressed versions of each image are first obtain...
Xu Chen, Pascal Frossard