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» Quantization of Sparse Representations
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ICASSP
2011
IEEE
12 years 11 months ago
The value of redundant measurement in compressed sensing
The aim of compressed sensing is to recover attributes of sparse signals using very few measurements. Given an overall bit budget for quantization, this paper demonstrates that th...
Victoria Kostina, Marco F. Duarte, Sina Jafarpour,...
ICDE
2008
IEEE
150views Database» more  ICDE 2008»
14 years 9 months ago
On the Anonymization of Sparse High-Dimensional Data
Abstract-- Existing research on privacy-preserving data publishing focuses on relational data: in this context, the objective is to enforce privacy-preserving paradigms, such as ka...
Gabriel Ghinita, Yufei Tao, Panos Kalnis
SCALESPACE
2005
Springer
14 years 1 months ago
Sparse Finite Element Level-Sets for Anisotropic Boundary Detection in 3D Images
Level-Set methods have been successfully applied to 2D and 3D boundary detection problems. The geodesic active contour model has been particularly successful. Several algorithms fo...
Martin Weber, Andrew Blake, Roberto Cipolla
COLING
2010
13 years 2 months ago
The Bag-of-Opinions Method for Review Rating Prediction from Sparse Text Patterns
The problem addressed in this paper is to predict a user's numeric rating in a product review from the text of the review. Unigram and n-gram representations of text are comm...
Lizhen Qu, Georgiana Ifrim, Gerhard Weikum
NIPS
2004
13 years 9 months ago
A Direct Formulation for Sparse PCA Using Semidefinite Programming
We examine the problem of approximating, in the Frobenius-norm sense, a positive, semidefinite symmetric matrix by a rank-one matrix, with an upper bound on the cardinality of its...
Alexandre d'Aspremont, Laurent El Ghaoui, Michael ...