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» A choice model with infinitely many latent features
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ICCV
2007
IEEE
14 years 7 months ago
Learning Multiscale Representations of Natural Scenes Using Dirichlet Processes
We develop nonparametric Bayesian models for multiscale representations of images depicting natural scene categories. Individual features or wavelet coefficients are marginally de...
Jyri J. Kivinen, Erik B. Sudderth, Michael I. Jord...
NHM
2010
78views more  NHM 2010»
12 years 12 months ago
Rate-independent phase transitions in elastic materials: A Young-measure approach
A quasistatic evolution problem for a phase transition model with nonconvex energy density is considered in terms of Young measures. We focus on the particular case of a finite num...
Alice Fiaschi
INFOCOM
2003
IEEE
13 years 10 months ago
Associative Search in Peer to Peer Networks: Harnessing Latent Semantics
— The success of a P2P file-sharing network highly depends on the scalability and versatility of its search mechanism. Two particularly desirable search features are scope (abil...
Edith Cohen, Amos Fiat, Haim Kaplan
ICCV
2007
IEEE
14 years 7 months ago
The Joint Manifold Model for Semi-supervised Multi-valued Regression
Many computer vision tasks may be expressed as the problem of learning a mapping between image space and a parameter space. For example, in human body pose estimation, recent rese...
Ramanan Navaratnam, Andrew W. Fitzgibbon, Roberto ...
SOCO
2010
Springer
13 years 3 months ago
Managing Variability in Workflow with Feature Model Composition Operators
Abstract. In grid-based scientific applications, building a workflow essentially involves composing parameterized services describing families of services and then configuring the ...
Mathieu Acher, Philippe Collet, Philippe Lahire, R...