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» Generalized Conditioning in Neighbourhood Models
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BMCBI
2010
178views more  BMCBI 2010»
14 years 11 months ago
Selecting high-dimensional mixed graphical models using minimal AIC or BIC forests
Background: Chow and Liu showed that the maximum likelihood tree for multivariate discrete distributions may be found using a maximum weight spanning tree algorithm, for example K...
David Edwards, Gabriel C. G. de Abreu, Rodrigo Lab...
83
Voted
ECCV
2006
Springer
16 years 1 months ago
Conditional Infomax Learning: An Integrated Framework for Feature Extraction and Fusion
The paper introduces a new framework for feature learning in classification motivated by information theory. We first systematically study the information structure and present a n...
Dahua Lin, Xiaoou Tang
VLSID
2002
IEEE
124views VLSI» more  VLSID 2002»
15 years 11 months ago
Efficient Approximate Balanced Truncation of General Large-Scale RLC Systems via Krylov Methods
We present an efficient implementation of an approximate balanced truncation model reduction technique for general large-scale RLC systems, described by a statespace model where t...
Q. Su, Venkataramanan Balakrishnan, Cheng-Kok Koh
62
Voted
ICASSP
2009
IEEE
15 years 5 months ago
Perceptual quality based packet dropping for generalized video GOP structures
Our work builds a general visibility model of video packets which is applicable to various types of GOP (Group of Pictures). The data used for analysis and building the model come...
Ting-Lan Lin, Yuan Zhi, Sandeep Kanumuri, Pamela C...
JAIR
1998
198views more  JAIR 1998»
14 years 10 months ago
Probabilistic Inference from Arbitrary Uncertainty using Mixtures of Factorized Generalized Gaussians
This paper presents a general and efficient framework for probabilistic inference and learning from arbitrary uncertain information. It exploits the calculation properties of fini...
Alberto Ruiz, Pedro E. López-de-Teruel, M. ...