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IPMI
2011
Springer
14 years 9 months ago
Generalized Sparse Regularization with Application to fMRI Brain Decoding
Many current medical image analysis problems involve learning thousands or even millions of model parameters from extremely few samples. Employing sparse models provides an effecti...
Bernard Ng, Rafeef Abugharbieh
CVPR
2010
IEEE
16 years 2 months ago
Fast Global Optimization of Curvature
Two challenges in computer vision are to accommodate noisy data and missing data. Many problems in computer vision, such as segmentation, filtering, stereo, reconstruction, inpain...
Noha El-Zehiry, Leo Grady
GECCO
2010
Springer
181views Optimization» more  GECCO 2010»
15 years 11 months ago
Evolving neural networks in compressed weight space
We propose a new indirect encoding scheme for neural networks in which the weight matrices are represented in the frequency domain by sets of Fourier coefficients. This scheme exp...
Jan Koutnik, Faustino J. Gomez, Jürgen Schmid...
PLILP
1997
Springer
15 years 10 months ago
Narrowing the Narrowing Space
We introduce a framework for managing as a whole the space of a narrowing computation. The aim of our framework is to find a finite representation of an infinite narrowing space...
Sergio Antoy, Zena M. Ariola
IWPC
2003
IEEE
15 years 11 months ago
Handling Large Search Space in Pattern-Based Reverse Engineering
Large industrial legacy systems are challenges of reverseengineering activities. Reverse-engineering approaches use text-search tools based on regular expressions or work on prese...
Jörg Niere, Jörg P. Wadsack, Lothar Wend...