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» Using Prior Knowledge: Problems and Solutions
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ICTAI
2010
IEEE
15 years 1 months ago
Revision Rules in the Theory of Evidence
Abstract--Combination rules proposed so far in the DempsterShafer theory of evidence, especially Dempster rule, rely on a basic assumption, that is, pieces of evidence being combin...
Jianbing Ma, Weiru Liu, Didier Dubois, Henri Prade
104
Voted
ICML
2006
IEEE
16 years 4 months ago
Inference with the Universum
In this paper we study a new framework introduced by Vapnik (1998) and Vapnik (2006) that is an alternative capacity concept to the large margin approach. In the particular case o...
Fabian H. Sinz, Jason Weston, Léon Bottou, ...
130
Voted
ICPR
2008
IEEE
15 years 9 months ago
Regularized discriminant analysis for transformation-invariant object recognition
We present a novel method for incorporating prior knowledge about invariances in object recognition for discriminant analysis. In contrast to conventional isotropic regularization...
Yung-Kyun Noh, Jihun Ham, Daniel D. Lee
143
Voted
AIPR
2005
IEEE
15 years 9 months ago
Hierarchical Bayesian Algorithm for Diffuse Optical Tomography
Diffuse Optical Tomography (DOT) poses a typical illposed inverse problem with limited number of measurements and inherently low spatial resolution. In this paper, we propose a hi...
Murat Guven, Birsen Yazici, Xavier Intes, Britton ...
GECCO
2003
Springer
120views Optimization» more  GECCO 2003»
15 years 8 months ago
New Usage of SOM for Genetic Algorithms
Abstract. Self-Organizing Map (SOM) is an unsupervised learning neural network and it is used for preserving the structural relationships in the data without prior knowledge. SOM h...
Jung Hwan Kim, Byung Ro Moon