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IPMI
2011
Springer
14 years 7 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
ICIP
2004
IEEE
16 years 5 months ago
Generalization of angular radial transform
Content based shape image retrieval is an important problem which gained the attention of the community. The challenge is to map the shape into compact and robust descriptor. This...
Julien Ricard, David Coeurjolly, Atilla Baskurt
ATAL
2009
Springer
15 years 10 months ago
Generalizing DPOP: Action-GDL, a new complete algorithm for DCOPs
In this paper we propose a novel message-passing algorithm, the so-called Action-GDL, as an extension to the Generalized Distributive Law algorithm (GDL) [1] to efficiently solve...
Meritxell Vinyals, Juan A. Rodríguez-Aguila...
ISNN
2005
Springer
15 years 9 months ago
A Learning Framework for Blind Source Separation Using Generalized Eigenvalues
This paper presents a learning framework for blind source separation (BSS), in which the BSS is formulated as generalized Eigenvalue (GE) problem. Compared to the typical informati...
Hailin Liu, Yiu-ming Cheung
ICTAI
2003
IEEE
15 years 8 months ago
Q-Concept-Learning: Generalization with Concept Lattice Representation in Reinforcement Learning
One of the very interesting properties of Reinforcement Learning algorithms is that they allow learning without prior knowledge of the environment. However, when the agents use al...
Marc Ricordeau