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ICPR
2006
IEEE
16 years 2 months ago
Combining Generative and Discriminative Methods for Pixel Classification with Multi-Conditional Learning
It is possible to broadly characterize two approaches to probabilistic modeling in terms of generative and discriminative methods. Provided with sufficient training data the discr...
B. Michael Kelm, Chris Pal, Andrew McCallum
ICIP
2010
IEEE
14 years 11 months ago
A game theoretical approach for image denoising
How to adaptively choose optimal neighborhoods is very important to pixel-domain image denoising algorithms since too many neighborhoods may cause over-smooth artifacts and too fe...
Yan Chen, K. J. Ray Liu
ICML
2006
IEEE
16 years 2 months ago
The support vector decomposition machine
In machine learning problems with tens of thousands of features and only dozens or hundreds of independent training examples, dimensionality reduction is essential for good learni...
Francisco Pereira, Geoffrey J. Gordon
ICONIP
2009
14 years 11 months ago
Probabilistic Combination of Multiple Evidence
In pattern recognition systems, data fusion is an important issue and evidence theory is one such method that has been successful. Many researchers have proposed different rules fo...
Heeyoul Choi, Anup Katake, Seungjin Choi, Yoonseop...
ICIP
2005
IEEE
16 years 3 months ago
Nonsubsampled contourlet transform: construction and application in enhancement
We present the nonsubsampled contourlet transform and its application in image enhancement. The nonsubsampled contourlet transform is built upon nonsubsampled pyramids and nonsubs...
Jianping Zhou, Arthur L. da Cunha, Minh N. Do