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ICASSP
2008
IEEE
14 years 2 months ago
Wavelet-domain compressive signal reconstruction using a Hidden Markov Tree model
Compressive sensing aims to recover a sparse or compressible signal from a small set of projections onto random vectors; conventional solutions involve linear programming or greed...
Marco F. Duarte, Michael B. Wakin, Richard G. Bara...
ICASSP
2011
IEEE
12 years 11 months ago
Exploiting an interplay between norms to analyze scalar quantization schemes
Quantization is intrinsic to several data acquisition systems. This process is especially important in distributed settings, where observations must rst be compressed before they ...
Parimal Parag, Jean-François Chamberland
CP
1997
Springer
13 years 11 months ago
Distributed Partial Constraint Satisfaction Problem
Many problems in multi-agent systems can be described as distributed Constraint Satisfaction Problems (distributed CSPs), where the goal is to nd a set of assignments to variables ...
Katsutoshi Hirayama, Makoto Yokoo
MICCAI
2007
Springer
14 years 8 months ago
A New Benchmark for Shape Correspondence Evaluation
This paper introduces a new benchmark study of evaluating landmark-based shape correspondence used for statistical shape analysis. Different from previous shape-correspondence eval...
Brent C. Munsell, Pahal Dalal, Song Wang
PAMI
2008
215views more  PAMI 2008»
13 years 7 months ago
Evaluating Shape Correspondence for Statistical Shape Analysis: A Benchmark Study
This paper introduces a new benchmark study to evaluate the performance of landmark-based shape correspondence used for statistical shape analysis. Different from previous shape-co...
Brent C. Munsell, Pahal Dalal, Song Wang