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» Polynomial Conditional Random Fields for Signal Processing
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ICIP
2006
IEEE
14 years 9 months ago
An Architecture for Compressive Imaging
Compressive Sensing is an emerging field based on the revelation that a small group of non-adaptive linear projections of a compressible signal contains enough information for rec...
Michael B. Wakin, Jason N. Laska, Marco F. Duarte,...
ICASSP
2011
IEEE
12 years 11 months ago
A clustering based framework for dictionary block structure identification
Sparse representations over redundant dictionaries offer an efficient paradigm for signal representation. Recently block-sparsity has been put forward as a prior condition for so...
Ender M. Eksioglu
ICASSP
2010
IEEE
13 years 5 months ago
Psychoacoustically motivated, frequency dependent Tikhonov regularization for soundfield parametrization
Noise is inevitably introduced during model based parametrization of acoustic fields, acquired using microphone arrays. This is due to the finite number of microphones used, the f...
Deep Sen, Shuai Wang, Andy Deffrasnes
ICIP
2001
IEEE
14 years 9 months ago
DWT based non-parametric texture modeling
We propose a non-parametric texture modeling and synthesis technique based on the integer version of the Discrete Wavelet Transform (DWT). The successive levels of the DWT pyramid...
Gloria Menegaz
NIPS
2008
13 years 9 months ago
Empirical performance maximization for linear rank statistics
The ROC curve is known to be the golden standard for measuring performance of a test/scoring statistic regarding its capacity of discrimination between two populations in a wide v...
Stéphan Clémençon, Nicolas Va...