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DCC
2008
IEEE
16 years 10 days ago
Compressive-Projection Principal Component Analysis for the Compression of Hyperspectral Signatures
A method is proposed for the compression of hyperspectral signature vectors on severely resourceconstrained encoding platforms. The proposed technique, compressive-projection prin...
James E. Fowler
DCC
2008
IEEE
16 years 10 days ago
Sublinear Recovery of Sparse Wavelet Signals
There are two main classes of decoding algorithms for "compressed sensing," those which run time time polynomial in the signal length and those which use sublinear resou...
Ray Maleh, Anna C. Gilbert
DCC
2007
IEEE
16 years 10 days ago
Quantization of Sparse Representations
Compressive sensing (CS) is a new signal acquisition technique for sparse and compressible signals. Rather than uniformly sampling the signal, CS computes inner products with rand...
Petros Boufounos, Richard G. Baraniuk
ICIAP
2009
ACM
15 years 11 months ago
Fuzzy Smoothed Composition of Local Mapping Transformations for Non-rigid Image Registration
This paper presents a novel method for medical image registration. The global transformation is obtained by composing affine transformations, which are recovered locally from giv...
Edoardo Ardizzone, Orazio Gambino, Roberto Gallea,...
SDM
2009
SIAM
130views Data Mining» more  SDM 2009»
15 years 10 months ago
FuncICA for Time Series Pattern Discovery.
We introduce FuncICA, a new independent component analysis method for pattern discovery in inherently functional data, such as time series data. FuncICA can be considered an analo...
Alexander Gray, Nishant Mehta