293 search results - page 12 / 59 » Methods for learning classifier combinations: no clear winne... |
ICCV
2005
IEEE
14 years 10 months ago
2005
IEEE
Learning models for detecting and classifying object categories is a challenging problem in machine vision. While discriminative approaches to learning and classification have, in...
CORR
2008
Springer
13 years 8 months ago
2008
Springer
: Boosting is a general method for improving the accuracy of any given learning algorithm. In this paper we employ combination of Adaboost with Support Vector Machine (SVM) as comp...
AAAI
2010
13 years 9 months ago
2010
Interactive clustering refers to situations in which a human labeler is willing to assist a learning algorithm in automatically clustering items. We present a related but somewhat...
ICML
2007
IEEE
14 years 8 months ago
2007
IEEE
We propose a local, generative model for similarity-based classification. The method is applicable to the case that only pairwise similarities between samples are available. The c...
LREC
2010
13 years 9 months ago
2010
In this paper, we propose GermanPolarityClues, a new publicly available lexical resource for sentiment analysis for the German language. While sentiment analysis and polarity clas...