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» Universal Sparse Modeling
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COGSCI
2008
54views more  COGSCI 2008»
13 years 8 months ago
From Universal Laws of Cognition to Specific Cognitive Models
Nick Chater, Gordon D. A. Brown
IPMI
2011
Springer
13 years 1 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
AAAI
2012
12 years 1 days ago
Supervised Probabilistic Robust Embedding with Sparse Noise
Many noise models do not faithfully reflect the noise processes introduced during data collection in many real-world applications. In particular, we argue that a type of noise re...
Yu Zhang, Dit-Yan Yeung, Eric P. Xing
FUIN
2002
100views more  FUIN 2002»
13 years 9 months ago
UPSILON: Universal Programming System with Incomplete Lazy Object Notation
This paper presents a new model of computation that differs from prior models in that it emphasizes data over flow control, has no named variables and has an object-oriented flavo...
Brian Postow, Kenneth W. Regan, Carl H. Smith
TSP
2008
151views more  TSP 2008»
13 years 9 months ago
Reduce and Boost: Recovering Arbitrary Sets of Jointly Sparse Vectors
The rapid developing area of compressed sensing suggests that a sparse vector lying in a high dimensional space can be accurately and efficiently recovered from only a small set of...
Moshe Mishali, Yonina C. Eldar