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ICASSP
2011
IEEE
14 years 10 months ago
Sparse coding and dictionary learning based on the MDL principle
The power of sparse signal coding with learned overcomplete dictionaries has been demonstrated in a variety of applications and fields, from signal processing to statistical infe...
Ignacio Ramírez, Guillermo Sapiro
CORR
2010
Springer
182views Education» more  CORR 2010»
15 years 6 months ago
SPOT: An R Package For Automatic and Interactive Tuning of Optimization Algorithms by Sequential Parameter Optimization
The sequential parameter optimization (spot) package for R (R Development Core Team, 2008) is a toolbox for tuning and understanding simulation and optimization algorithms. Model-...
Thomas Bartz-Beielstein
CORR
1999
Springer
111views Education» more  CORR 1999»
15 years 6 months ago
Ensembles of Radial Basis Function Networks for Spectroscopic Detection of Cervical Pre-Cancer
The mortality related to cervical cancer can be substantially reduced through early detection and treatment. However, current detection techniques, such as Pap smear and colposcop...
Kagan Tumer, Nirmala Ramanujam, Joydeep Ghosh, Reb...
SODA
2008
ACM
184views Algorithms» more  SODA 2008»
15 years 7 months ago
Coresets, sparse greedy approximation, and the Frank-Wolfe algorithm
The problem of maximizing a concave function f(x) in a simplex S can be solved approximately by a simple greedy algorithm. For given k, the algorithm can find a point x(k) on a k-...
Kenneth L. Clarkson
ICIP
2003
IEEE
16 years 8 months ago
Robust object boundary determination using a locally adaptive level set algorithm
This paper introduces a level set methodology for the precise boundary localization of image objects within an indicated region, designed to be particularly robust against weak or...
Eftychios Sifakis, George Tziritas