264 search results - page 19 / 53 » Boosting products of base classifiers |
118
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AAAI
2010
15 years 20 days ago
2010
People tracking is a key technology for autonomous systems, intelligent cars and social robots operating in populated environments. What makes the task difficult is that the appea...
ML
2002
ACM
14 years 11 months ago
2002
ACM
We consider the existence of a linear weak learner for boosting algorithms. A weak learner for binary classification problems is required to achieve a weighted empirical error on t...
106
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AVBPA
2003
Springer
15 years 2 months ago
2003
Springer
There are two main approaches to the problem of gender classification, Support Vector Machines (SVMs) and Adaboost learning methods, of which SVMs are better in correct rate but ar...
ICML
2006
IEEE
16 years 1 days ago
2006
IEEE
We address the problem of efficiently learning Naive Bayes classifiers under classconditional classification noise (CCCN). Naive Bayes classifiers rely on the hypothesis that the ...
ICPR
2006
IEEE
16 years 10 days ago
2006
IEEE
In this paper we present a unsupervised learning based approach for sub-pixel motion estimation. The novelty of this work is the learning based method itself which tries to learn ...