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ICA
2010
Springer
14 years 11 months ago
Binary Sparse Coding
We study a sparse coding learning algorithm that allows for a simultaneous learning of the data sparseness and the basis functions. The algorithm is derived based on a generative m...
Marc Henniges, Gervasio Puertas, Jörg Bornsch...
BMCBI
2006
137views more  BMCBI 2006»
14 years 9 months ago
A classification-based framework for predicting and analyzing gene regulatory response
Background: We have recently introduced a predictive framework for studying gene transcriptional regulation in simpler organisms using a novel supervised learning algorithm called...
Anshul Kundaje, Manuel Middendorf, Mihir Shah, Chr...
IJON
1998
158views more  IJON 1998»
14 years 9 months ago
Bayesian Kullback Ying-Yang dependence reduction theory
Bayesian Kullback Ying—Yang dependence reduction system and theory is presented. Via stochastic approximation, implementable algorithms and criteria are given for parameter lear...
Lei Xu
CVPR
2010
IEEE
15 years 6 months ago
Tag-based Web Photo Retrieval Improved by Batch Mode Re-Tagging
Web photos in social media sharing websites such as Flickr are generally accompanied by rich but noisy textual descriptions (tags, captions, categories, etc.). In this paper, we p...
Lin Chen, Dong Xu, Wai-Hung Tsang, Jiebo Luo
RWEB
2007
Springer
15 years 3 months ago
Semantic Descriptions in an Enterprise Search Solution
Today customers want to use powerful search engines for their huge and increasing content repositories. Full-text-only products with simple result lists are not enough to satisfy t...
Uwe Crenze, Stefan Köhler, Kristian Hermsdorf...