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» Online Feature Selection using Grafting
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SGAI
2007
Springer
15 years 5 months ago
Selecting Bi-Tags for Sentiment Analysis of Text
Sentiment Analysis aims to determine the overall sentiment orientation of a given input text. One motivation for research in this area is the need for consumer related industries t...
Rahman Mukras, Nirmalie Wiratunga, Robert Lothian
IVC
2000
119views more  IVC 2000»
14 years 11 months ago
Real time tracking of borescope tip pose
In this paper we present a technique for tracking borescope tip pose in real-time. While borescopes are used regularly to inspect machinery for wear or damage, knowing the exact l...
Ken Martin, Charles V. Stewart
CVPR
2010
IEEE
15 years 7 months ago
Online Multiple Instance Learning with No Regret
Multiple instance (MI) learning is a recent learning paradigm that is more flexible than standard supervised learning algorithms in the handling of label ambiguity. It has been u...
Li Mu, James Kwok, Lu Bao-liang
COLT
2006
Springer
15 years 3 months ago
A Randomized Online Learning Algorithm for Better Variance Control
We propose a sequential randomized algorithm, which at each step concentrates on functions having both low risk and low variance with respect to the previous step prediction functi...
Jean-Yves Audibert
IJCV
2008
192views more  IJCV 2008»
14 years 11 months ago
Learning to Locate Informative Features for Visual Identification
Object identification (OID) is specialized recognition where the category is known (e.g. cars) and the algorithm recognizes an object's exact identity (e.g. Bob's BMW). ...
Andras Ferencz, Erik G. Learned-Miller, Jitendra M...