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ICASSP
2011
IEEE
13 years 1 months ago
Empirical divergence maximization for quantizer design: An analysis of approximation error
Empirical divergence maximization is an estimation method similar to empirical risk minimization whereby the Kullback-Leibler divergence is maximized over a class of functions tha...
Michael A. Lexa
JOCN
2010
126views more  JOCN 2010»
13 years 8 months ago
Evidence for Early Morphological Decomposition in Visual Word Recognition
■ We employ a single-trial correlational MEG analysis technique to investigate early processing in the visual recognition of morphologically complex words. Three classes of affi...
Olla Solomyak, Alec Marantz
ICIP
2003
IEEE
14 years 11 months ago
Algorithms for stochastic approximations of curvature flows
Curvature flows have been extensively considered from a deterministic point of view. They have been shown to be useful for a number of applications including crystal growth, flame...
Gozde B. Unal, Delphine Nain, G. Ben-Arous, Nahum ...
ICIP
1999
IEEE
14 years 11 months ago
The Sinc-Approximating Kernels of Classical Polynomial Interpolation
A classical approach to interpolation of sampled data is polynomial interpolation. However, from the sampling theorem it follows that the ideal approach to interpolation is to con...
Erik H. W. Meijering, Wiro J. Niessen, Max A. Vier...
ICASSP
2008
IEEE
14 years 4 months ago
Stable sparse approximations via nonconvex optimization
We present theoretical results pertaining to the ability of ℓp minimization to recover sparse and compressible signals from incomplete and noisy measurements. In particular, we ...
Rayan Saab, Rick Chartrand, Özgür Yilmaz