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139
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JMLR
2010
119views more  JMLR 2010»
14 years 10 months ago
Factorized Orthogonal Latent Spaces
Existing approaches to multi-view learning are particularly effective when the views are either independent (i.e, multi-kernel approaches) or fully dependent (i.e., shared latent ...
Mathieu Salzmann, Carl Henrik Ek, Raquel Urtasun, ...
148
Voted
ICML
2010
IEEE
15 years 4 months ago
High-Performance Semi-Supervised Learning using Discriminatively Constrained Generative Models
We develop a semi-supervised learning method that constrains the posterior distribution of latent variables under a generative model to satisfy a rich set of feature expectation c...
Gregory Druck, Andrew McCallum
159
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ICIP
2008
IEEE
15 years 10 months ago
Total variation super resolution using a variational approach
In this paper we propose a novel algorithm for super resolution based on total variation prior and variational distribution approximations. We formulate the problem using a hierar...
S. Derin Babacan, Rafael Molina, Aggelos K. Katsag...
129
Voted
ECCV
2010
Springer
15 years 8 months ago
Discriminative Learning with Latent Variables for Cluttered Indoor Scene Understanding
We address the problem of understanding an indoor scene from a single image in terms of recovering the layouts of the faces (floor, ceiling, walls) and furniture. A major challeng...
ICCAD
2001
IEEE
102views Hardware» more  ICCAD 2001»
16 years 10 days ago
Simulation-Based Automatic Generation of Signomial and Posynomial Performance Models for Analog Integrated Circuit Sizing
This paper presents a method to automatically generate posynomial response surface models for the performance parameters of analog integrated circuits. The posynomial models enabl...
Walter Daems, Georges G. E. Gielen, Willy M. C. Sa...