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NIPS
2007
15 years 5 months ago
Unsupervised Feature Selection for Accurate Recommendation of High-Dimensional Image Data
Content-based image suggestion (CBIS) targets the recommendation of products based on user preferences on the visual content of images. In this paper, we motivate both feature sel...
Sabri Boutemedjet, Djemel Ziou, Nizar Bouguila
ACL
2012
13 years 6 months ago
Joint Feature Selection in Distributed Stochastic Learning for Large-Scale Discriminative Training in SMT
With a few exceptions, discriminative training in statistical machine translation (SMT) has been content with tuning weights for large feature sets on small development data. Evid...
Patrick Simianer, Stefan Riezler, Chris Dyer
ICIP
2003
IEEE
16 years 5 months ago
Near-optimal multipath streaming of H.264 using reference frame selection
New video codink standards such as H.264 offer the flexibility to select from a number of reference frames for motion-estimation for a given predicted frame. In this paper, we pro...
Gene Cheung
ISNN
2005
Springer
15 years 9 months ago
Non-parametric Statistical Tests for Informative Gene Selection
This paper presents two non-parametric statistical test methods, called Kolmogorov-Smirnov (KS) and U statistic test methods, respectively, for informative gene selection of a tumo...
Jinwen Ma, Fuhai Li, Jianfeng Liu
138
Voted
CPAIOR
2004
Springer
15 years 9 months ago
Simple Rules for Low-Knowledge Algorithm Selection
This paper addresses the question of selecting an algorithm from a predefined set that will have the best performance on a scheduling problem instance. Our goal is to reduce the e...
J. Christopher Beck, Eugene C. Freuder