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JMLR
2012
11 years 11 months ago
Exact Covariance Thresholding into Connected Components for Large-Scale Graphical Lasso
We consider the sparse inverse covariance regularization problem or graphical lasso with regularization parameter λ. Suppose the sample covariance graph formed by thresholding th...
Rahul Mazumder, Trevor Hastie
APSEC
2000
IEEE
14 years 1 months ago
Component-based application development on architecture of a model, UI and components
Explosive increase in end-user computing on distributed systems requires that end-users develop application software by themselves. One solution is given as a formula of “a doma...
Takeshi Chusho, Hisashi Ishigure, Naoyuki Konda, T...
JMLR
2012
11 years 11 months ago
Sparse Higher-Order Principal Components Analysis
Traditional tensor decompositions such as the CANDECOMP / PARAFAC (CP) and Tucker decompositions yield higher-order principal components that have been used to understand tensor d...
Genevera Allen
ICLP
2009
Springer
14 years 9 months ago
Generative Modeling by PRISM
PRISM is a probabilistic extension of Prolog. It is a high level language for probabilistic modeling capable of learning statistical parameters from observed data. After reviewing ...
Taisuke Sato

Publication
443views
15 years 4 months ago
Luminance Distribution Control based on the Separation of Direct and Indirect Components
We propose a method to control the luminance distribution on a scene by modeling the light propagation with direct and indirect components separately. To reduce the measurement tim...
Osamu Nasu, Shinsaku Hiura, Kosuke Sato