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ICML
2008
IEEE
16 years 7 months ago
Optimizing estimated loss reduction for active sampling in rank learning
Learning to rank is becoming an increasingly popular research area in machine learning. The ranking problem aims to induce an ordering or preference relations among a set of insta...
Pinar Donmez, Jaime G. Carbonell
ICML
2002
IEEE
16 years 7 months ago
Partially Supervised Classification of Text Documents
We investigate the following problem: Given a set of documents of a particular topic or class ?, and a large set ? of mixed documents that contains documents from class ? and othe...
Bing Liu, Wee Sun Lee, Philip S. Yu, Xiaoli Li
ICRA
2006
IEEE
99views Robotics» more  ICRA 2006»
16 years 23 days ago
Human Motion Recognition with a Convolution Kernel
Abstract— We address the problem of human motion recognition in this paper. The goal of human motion recognition is to recognize the type of motion recorded in a video clip, whic...
Dongwei Cao, Osama Masoud, Daniel Boley
AMFG
2003
IEEE
157views Biometrics» more  AMFG 2003»
16 years 1 days ago
Inference of Human Postures by Classification of 3D Human Body Shape
In this paper we describe an approach for inferring the body posture using a 3D visual-hull constructed from a set of silhouettes. We introduce an appearance-based, view-independe...
Isaac Cohen, Hongxia Li
ACL
2012
13 years 9 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