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» Regularization and feature selection for networked features
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155
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AAAI
1996
15 years 5 months ago
Building Classifiers Using Bayesian Networks
Recent work in supervised learning has shown that a surprisingly simple Bayesian classifier with strong assumptions of independence among features, called naive Bayes, is competit...
Nir Friedman, Moisés Goldszmidt
140
Voted
ECIR
2007
Springer
15 years 5 months ago
Hierarchical Browsing of Video Key Frames
We propose an innovative, general purpose, method to the selection and hierarchical representation of key frames of a video sequence for video summarization. It is able to create a...
Gianluigi Ciocca, Raimondo Schettini
126
Voted
WCE
2007
15 years 5 months ago
Wavepackets in the Recognition of Isolated Handwritten Characters
— This work is to apply wavelet packet transformation for the recognition of isolated handwritten Malayalam (one of the south Indian languages) characters. The key idea is that c...
G. Raju, K. Revathy
136
Voted
IJISTA
2007
124views more  IJISTA 2007»
15 years 3 months ago
Incremental learning for spoken affect classification and its application in call-centres
: This paper introduces a system for real-time incremental learning in a call-centre environment. The classifier used is a Support Vector Machine (SVM) and it is applied to telepho...
Donn Morrison, Ruili Wang, W. L. Xu, Liyanage C. D...
181
Voted
PR
2011
14 years 6 months ago
Hierarchical annotation of medical images
In this paper, we describe an approach for the automatic medical annotation task of the 2008 CLEF cross-language image retrieval campaign (ImageCLEF). The data comprise 12076 full...
Ivica Dimitrovski, Dragi Kocev, Suzana Loskovska, ...