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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
Automatic minute generation for parliamentary speech using conditional random fields
We show a novel approach of automatically generating minutes style extractive summaries for parliamentary speech. Minutes are structured summaries consisting of sequences of busin...
Justin Jian Zhang, Pascale Fung, Ricky Ho Yin Chan
ICIP
1994
IEEE
14 years 9 months ago
A Tree Structured Bayesian Scalar Quantizer for Wavelet Based Image Compression
ABSTRACT the pyramid. Recently, a number of promising quanMultiresolution imagedecompositions (e. g., wavelets), in conjunction with a variety of quantization schemes, have been sh...
Birsen Yazici, Mary L. Comer, Rangasami L. Kashyap...
PAMI
2008
119views more  PAMI 2008»
13 years 7 months ago
Triplet Markov Fields for the Classification of Complex Structure Data
We address the issue of classifying complex data. We focus on three main sources of complexity, namely, the high dimensionality of the observed data, the dependencies between these...
Juliette Blanchet, Florence Forbes
ISCAS
1994
IEEE
104views Hardware» more  ISCAS 1994»
13 years 11 months ago
A Homotopy Continuation Method for Parameter Estimation in MRF Models and Image Restoration
In this paper, we present an alternate approach to estimate the parameters of a Markov random field (MRF) model for images using the concepts of homotopy continuation method. We a...
P. K. Nanda, Uday B. Desai, P. G. Poonacha