310 search results - page 11 / 62 » MuFeSaC: Learning When to Use Which Feature Detector |
IWBRS
2005
Springer
14 years 2 months ago
2005
Springer
Though AdaBoost has been widely used for feature selection and classifier learning, many of the selected features, or weak classifiers, are redundant. By incorporating mutual infor...
KDD
2010
ACM
14 years 29 days ago
2010
ACM
Feature selection is an important task in order to achieve better generalizability in high dimensional learning, and structure learning of Markov random fields (MRFs) can automat...
CLEF
2010
Springer
13 years 10 months ago
2010
Springer
Abstract This vandalism detector uses features primarily derived from a wordpreserving differencing of the text for each Wikipedia article from before and after the edit, along wit...
MM
2010
ACM
13 years 9 months ago
2010
ACM
This paper presents a method for movie genre categorization of movie trailers, based on scene categorization. We view our approach as a step forward from using only low-level visu...
IDA
2010
Springer
13 years 7 months ago
2010
Springer
We propose a clustering algorithm that effectively utilizes feature order preferences, which have the form that feature s is more important than feature t. Our clustering formulati...