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ICML
2007
IEEE
16 years 7 months ago
Full regularization path for sparse principal component analysis
Given a sample covariance matrix, we examine the problem of maximizing the variance explained by a particular linear combination of the input variables while constraining the numb...
Alexandre d'Aspremont, Francis R. Bach, Laurent El...
DCC
2007
IEEE
16 years 6 months ago
Nonuniform Compression in Databases with Haar Wavelet
Data synopsis is a lossy compressed representation of data stored into databases that helps the query optimizer to speed up the query process, e.g. time to retrieve the data from ...
S. Chen, A. Nucci
ICASSP
2008
IEEE
16 years 1 months ago
Contextually adaptive signal representation using conditional principal component analysis
The conventional method of generating a basis that is optimally adapted (in MSE) for representation of an ensemble of signals is Principal Component Analysis (PCA). A more ambitio...
Rosa M. Figueras i Ventura, Umesh Rajashekar, Zhou...
WCNC
2008
IEEE
16 years 1 months ago
An Improved Method for GPS-Based Network Position Location in Forests
—In this paper we present a technique for improving the location performance based on the Global Positioning System (GPS) for networks of nodes in harsh environments and demonstr...
Christopher L. Hutchens, Brian R. Sarbin, Alyse C....
ICASSP
2007
IEEE
16 years 1 months ago
Morphological Diversity and Sparse Image Denoising
Overcomplete representations are attracting interest in image processing theory, particularly due to their potential to generate sparse representations of data based on their morp...
Mohamed-Jalal Fadili, Jean-Luc Starck, Larbi Boubc...