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» Optimal Denoising in Redundant Representations
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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
NIPS
2003
13 years 9 months ago
Probabilistic Inference of Speech Signals from Phaseless Spectrograms
Many techniques for complex speech processing such as denoising and deconvolution, time/frequency warping, multiple speaker separation, and multiple microphone analysis operate on...
Kannan Achan, Sam T. Roweis, Brendan J. Frey
EUROGP
1998
Springer
113views Optimization» more  EUROGP 1998»
13 years 12 months ago
Fitness Causes Bloat: Mutation
The problem of evolving, using mutation, an artificial ant to follow the Santa Fe trail is used to study the well known genetic programming feature of growth in solution length. Kn...
William B. Langdon, Riccardo Poli
CORR
2010
Springer
136views Education» more  CORR 2010»
13 years 7 months ago
Optimally Sparse Frames
Frames have established themselves as a means to derive redundant, yet stable decompositions of a signal for analysis or transmission, while also promoting sparse expansions. Howe...
Peter G. Casazza, Andreas Heinecke, Felix Krahmer,...
ICMCS
2000
IEEE
109views Multimedia» more  ICMCS 2000»
14 years 2 days ago
Generating Optimal Video Summaries
In this paper, we propose a novel technique for video summarization based on the Singular Value Decomposition (SVD). For the input video sequence, we create a featureframe matrix ...
Yihong Gong, Xin Liu