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ICASSP
2011
IEEE
14 years 5 months ago
Non-linear tagging models with localist and distributed word representations
Distributed representations of words are attractive since they provide a means for measuring word similarity. However, most approaches to learning distributed representations are ...
Sumit Chopra, Srinivas Bangalore
IJCAI
2007
15 years 3 months ago
Fast Image Alignment Using Anytime Algorithms
Image alignment refers to finding the best transformation from a fixed reference image to a new image of a scene. This process is often guided by similarity measures between ima...
Rupert Brooks, Tal Arbel, Doina Precup
ML
2010
ACM
151views Machine Learning» more  ML 2010»
14 years 12 months ago
Inductive transfer for learning Bayesian networks
In several domains it is common to have data from different, but closely related problems. For instance, in manufacturing, many products follow the same industrial process but with...
Roger Luis, Luis Enrique Sucar, Eduardo F. Morales
124
Voted
SIGIR
2002
ACM
15 years 1 months ago
Document clustering with committees
Document clustering is useful in many information retrieval tasks: document browsing, organization and viewing of retrieval results, generation of Yahoo-like hierarchies of docume...
Patrick Pantel, Dekang Lin
BMCBI
2007
133views more  BMCBI 2007»
15 years 1 months ago
Semi-supervised learning for the identification of syn-expressed genes from fused microarray and in situ image data
Background: Gene expression measurements during the development of the fly Drosophila melanogaster are routinely used to find functional modules of temporally co-expressed genes. ...
Ivan G. Costa, Roland Krause, Lennart Opitz, Alexa...