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SDM
2010
SIAM
165views Data Mining» more  SDM 2010»
14 years 11 months ago
Direct Density Ratio Estimation with Dimensionality Reduction
Methods for directly estimating the ratio of two probability density functions without going through density estimation have been actively explored recently since they can be used...
Masashi Sugiyama, Satoshi Hara, Paul von Büna...
IEICET
2010
80views more  IEICET 2010»
14 years 8 months ago
Theoretical Analysis of Density Ratio Estimation
Density ratio estimation has gathered a great deal of attention recently since it can be used for various data processing tasks. In this paper, we consider three methods of densit...
Takafumi Kanamori, Taiji Suzuki, Masashi Sugiyama
ICC
2009
IEEE
111views Communications» more  ICC 2009»
15 years 4 months ago
A Study of the Percolation Threshold for k-Collaborative Wireless Networks
—How to efficiently use the air interface is a crucial issue in wireless networks. In order to improve the performance, mechanisms have been proposed to improve the reach and th...
Cédric Westphal
CVPR
2008
IEEE
15 years 11 months ago
Conditional density learning via regression with application to deformable shape segmentation
Many vision problems can be cast as optimizing the conditional probability density function p(C|I) where I is an image and C is a vector of model parameters describing the image. ...
Jingdan Zhang, Shaohua Kevin Zhou, Dorin Comaniciu...
ECML
2005
Springer
15 years 3 months ago
On Discriminative Joint Density Modeling
Abstract. We study discriminative joint density models, that is, generative models for the joint density p(c, x) learned by maximizing a discriminative cost function, the condition...
Jarkko Salojärvi, Kai Puolamäki, Samuel ...