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» Iterative compression and exact algorithms
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IJHPCA
2008
104views more  IJHPCA 2008»
14 years 11 months ago
Low-Complexity Principal Component Analysis for Hyperspectral Image Compression
Principal component analysis (PCA) is an effective tool for spectral decorrelation of hyperspectral imagery, and PCA-based spectral transforms have been employed successfully in co...
Qian Du, James E. Fowler
CVPR
2011
IEEE
14 years 8 months ago
Truncated Message Passing
Training of conditional random fields often takes the form of a double-loop procedure with message-passing inference in the inner loop. This can be very expensive, as the need to...
Justin Domke
DCC
2010
IEEE
15 years 6 months ago
Block Compressed Sensing of Images Using Directional Transforms
Block-based random image sampling is coupled with a projectiondriven compressed-sensing recovery that encourages sparsity in the domain of directional transforms simultaneously wi...
Sungkwang Mun, James E. Fowler
ISMB
1993
15 years 1 months ago
Discovering Sequence Similarity by the Algorithmic Significance Method
The minimal-length encoding approach is applied to define concept of sequence similarity. Asequence is defined to be similar to another sequence or to a set of keywords if it can ...
Aleksandar Milosavljevic
ICIP
2003
IEEE
16 years 1 months ago
Adaptively weighted update steps in motion compensated lifting based scalable video compression
Motion-compensated temporal wavelet decomposition is a useful framework for fully scalable video compression schemes. In this paper we propose a new approach to reduce the ghostin...
Nagita Mehrseresht, David Taubman