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JMLR
2010
134views more  JMLR 2010»
14 years 11 months ago
Inference of Graphical Causal Models: Representing the Meaningful Information of Probability Distributions
This paper studies the feasibility and interpretation of learning the causal structure from observational data with the principles behind the Kolmogorov Minimal Sufficient Statist...
Jan Lemeire, Kris Steenhaut
TSMC
2010
14 years 11 months ago
Probability Density Estimation With Tunable Kernels Using Orthogonal Forward Regression
A generalized or tunable-kernel model is proposed for probability density function estimation based on an orthogonal forward regression procedure. Each stage of the density estimat...
Sheng Chen, Xia Hong, Chris J. Harris
ICASSP
2011
IEEE
14 years 8 months ago
Local probability distribution of natural signals in sparse domains
—In this paper we investigate the local probability density function (pdf) of natural signals in sparse domains. The statistical properties of natural signals are characterized m...
Hossein Rabbani, Saeed Gazor
TVCG
2012
181views Hardware» more  TVCG 2012»
13 years 6 months ago
Interactive Image Segmentation Based on Level Sets of Probabilities
—In this paper, we present a robust and accurate algorithm for interactive image segmentation. The level set method is clearly advantageous for image objects with a complex topol...
Yugang Liu, Yizhou Yu
CVPR
2004
IEEE
16 years 6 months ago
Learning Classifiers from Imbalanced Data Based on Biased Minimax Probability Machine
We consider the problem of the binary classification on imbalanced data, in which nearly all the instances are labelled as one class, while far fewer instances are labelled as the...
Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. ...