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DCC
1995
IEEE
13 years 11 months ago
Accelerating Fractal Image Compression by Multi-Dimensional Nearest Neighbor Search
: In fractal image compression the encoding step is computationally expensive. A large number of sequential searches through a list of domains (portions of the image) are carried o...
Dietmar Saupe
SSIAI
2002
IEEE
14 years 26 days ago
Feature Extraction from Hyperspectral Images Compressed Using the JPEG-2000 Standard
We present results quantifying the exploitability of compressed remote sensing imagery. The performance of various feature extraction and classification tasks is measured on hype...
Mihaela D. Pal, Christopher M. Brislawn, Steven P....
CORR
2010
Springer
116views Education» more  CORR 2010»
13 years 8 months ago
Restricted Isometries for Partial Random Circulant Matrices
In the theory of compressed sensing, restricted isometry analysis has become a standard tool for studying how efficiently a measurement matrix acquires information about sparse an...
Holger Rauhut, Justin K. Romberg, Joel A. Tropp
CRV
2005
IEEE
201views Robotics» more  CRV 2005»
14 years 1 months ago
Minimum Bayes Error Features for Visual Recognition by Sequential Feature Selection and Extraction
The extraction of optimal features, in a classification sense, is still quite challenging in the context of large-scale classification problems (such as visual recognition), inv...
Gustavo Carneiro, Nuno Vasconcelos
ICASSP
2008
IEEE
14 years 2 months ago
Finding needles in noisy haystacks
The theory of compressed sensing shows that samples in the form of random projections are optimal for recovering sparse signals in high-dimensional spaces (i.e., finding needles ...
Rui M. Castro, Jarvis Haupt, Robert Nowak, Gil M. ...