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» Structured Learning with Approximate Inference
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ICML
2010
IEEE
14 years 10 months ago
Learning Fast Approximations of Sparse Coding
In Sparse Coding (SC), input vectors are reconstructed using a sparse linear combination of basis vectors. SC has become a popular method for extracting features from data. For a ...
Karol Gregor, Yann LeCun
ICVS
2003
Springer
15 years 2 months ago
A Self-Referential Perceptual Inference Framework for Video Interpretation
This paper presents an extensible architectural model for general content-based analysis and indexing of video data which can be customised for a given problem domain. Video interp...
Christopher Town, David Sinclair
ICONIP
2004
14 years 11 months ago
An Auxiliary Variational Method
Variational methods have proved popular and effective for inference and learning in intractable graphical models. An attractive feature of the approaches based on the Kullback-Lei...
Felix V. Agakov, David Barber
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INFOCOM
2008
IEEE
15 years 4 months ago
Minimum Cost Data Aggregation with Localized Processing for Statistical Inference
—The problem of minimum cost in-network fusion of measurements, collected from distributed sensors via multihop routing is considered. A designated fusion center performs an opti...
Animashree Anandkumar, Lang Tong, Ananthram Swami,...
JMLR
2012
13 years 2 days ago
Structured Output Learning with High Order Loss Functions
Often when modeling structured domains, it is desirable to leverage information that is not naturally expressed as simply a label. Examples include knowledge about the evaluation ...
Daniel Tarlow, Richard S. Zemel