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» Variational methods for the Dirichlet process
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SIGIR
2003
ACM
15 years 2 months ago
Modeling annotated data
We consider the problem of modeling annotated data—data with multiple types where the instance of one type (such as a caption) serves as a description of the other type (such as...
David M. Blei, Michael I. Jordan
ASPDAC
2007
ACM
144views Hardware» more  ASPDAC 2007»
15 years 1 months ago
Parameter Reduction for Variability Analysis by Slice Inverse Regression (SIR) Method
With semiconductor fabrication technologies scaled below 100 nm, the design-manufacturing interface becomes more and more complicated. The resultant process variability causes a nu...
Alexander V. Mitev, Michael Marefat, Dongsheng Ma,...
SIAMSC
2008
230views more  SIAMSC 2008»
14 years 9 months ago
Augmented Mixed Finite Element Methods for the Stationary Stokes Equations
In this paper we introduce and analyze two augmented mixed finite element methods for a velocity-pressure-stress formulation of the stationary Stokes equations. Our approach, which...
Leonardo E. Figueroa, Gabriel N. Gatica, Antonio M...
ICIP
2006
IEEE
15 years 11 months ago
Variational Local Structure Estimation for Image Super-Resolution
Super-resolution is an important but difficult problem in image/video processing. If a video sequence or some training set other than the given low-resolution image is available, ...
Heng Lian
ICML
2009
IEEE
15 years 10 months ago
MedLDA: maximum margin supervised topic models for regression and classification
Supervised topic models utilize document's side information for discovering predictive low dimensional representations of documents; and existing models apply likelihoodbased...
Jun Zhu, Amr Ahmed, Eric P. Xing