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» Painter Identification Using Local Features and Naive Bayes
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ICPR
2002
IEEE
14 years 6 months ago
Painter Identification Using Local Features and Naive Bayes
The goal of this paper is to offer a framework for image classification "by type". For example, one may want to classify an image of a certain office as man-made ? as op...
Daniel Keren
EACL
2006
ACL Anthology
13 years 6 months ago
Addressee Identification in Face-to-Face Meetings
We present results on addressee identification in four-participants face-to-face meetings using Bayesian Network and Naive Bayes classifiers. First, we investigate how well the ad...
Natasa Jovanovic, Rieks op den Akker, Anton Nijhol...
ESANN
2007
13 years 6 months ago
Classifying n-back EEG data using entropy and mutual information features
In this work we show that entropy (H) and mutual information (MI) can be used as methods for extracting spatially localized features for classification purposes. In order to incre...
Liang Wu, Predrag Neskovic, Etienne Reyes, Elena F...
ICASSP
2008
IEEE
13 years 11 months ago
Discriminative feature weighting using MCE training for topic identification of spoken audio recordings
In this paper we investigate a discriminative approach to feature weighting for topic identification using minimum classification error (MCE) training. Our approach learns featu...
Timothy J. Hazen, Anna Margolis
CCR
2006
114views more  CCR 2006»
13 years 4 months ago
A preliminary performance comparison of five machine learning algorithms for practical IP traffic flow classification
The identification of network applications through observation of associated packet traffic flows is vital to the areas of network management and surveillance. Currently popular m...
Nigel Williams, Sebastian Zander, Grenville J. Arm...