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ICPR
2008
IEEE
15 years 4 months ago
MCS-based balancing techniques for skewed classes: An empirical comparison
The class imbalance is a critical problem in classification tasks related to many real world applications. A large number of solutions were proposed in literature, both at the al...
Maria Teresa Ricamato, Claudio Marrocco, Francesco...
TIP
2008
213views more  TIP 2008»
14 years 8 months ago
Deblurring Using Regularized Locally Adaptive Kernel Regression
Kernel regression is an effective tool for a variety of image processing tasks such as denoising and interpolation [1]. In this paper, we extend the use of kernel regression for de...
Hiroyuki Takeda, Sina Farsiu, Peyman Milanfar
CP
2006
Springer
15 years 1 months ago
A New Algorithm for Sampling CSP Solutions Uniformly at Random
The paper presents a method for generating solutions of a constraint satisfaction problem (CSP) uniformly at random. The main idea is to express the CSP as a factored probability d...
Vibhav Gogate, Rina Dechter
ICML
2010
IEEE
14 years 11 months ago
Simple and Efficient Multiple Kernel Learning by Group Lasso
We consider the problem of how to improve the efficiency of Multiple Kernel Learning (MKL). In literature, MKL is often solved by an alternating approach: (1) the minimization of ...
Zenglin Xu, Rong Jin, Haiqin Yang, Irwin King, Mic...
CVPR
2003
IEEE
15 years 11 months ago
Practical Non-parametric Density Estimation on a Transformation Group for Vision
It is now common practice in machine vision to define the variability in an object's appearance in a factored manner, as a combination of shape and texture transformations. I...
Erik G. Miller, Christophe Chefd'Hotel