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SSIAI
2002
IEEE
14 years 1 months 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 9 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
ICCV
1995
IEEE
14 years 12 days ago
Model-Based Tracking of Self-Occluding Articulated Objects
Computer sensing of hand and limb motion is an important problem for applications in humancomputer interaction and computer graphics. We describe a framework for local tracking of...
James M. Rehg, Takeo Kanade
ICASSP
2008
IEEE
14 years 3 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. ...
CORR
2007
Springer
110views Education» more  CORR 2007»
13 years 8 months ago
Information-theoretic limits on sparsity recovery in the high-dimensional and noisy setting
The problem of recovering the sparsity pattern of a fixed but unknown vector β∗ ∈ Rp based on a set of n noisy observations arises in a variety of settings, including subset...
Martin J. Wainwright