845 search results - page 42 / 169 » Adaptive K-Means Clustering |
SSDBM
2006
IEEE
15 years 3 months ago
2006
IEEE
The issue of data mining in time series databases is of utmost importance for many practical applications and has attracted a lot of research in the past years. In this paper, we ...
85
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ICASSP
2008
IEEE
15 years 4 months ago
2008
IEEE
Language model (LM) adaptation is often achieved by combining a generic LM with a topic-specific model that is more relevant to the target document. Unlike previous work on unsup...
ICPR
2004
IEEE
15 years 10 months ago
2004
IEEE
This paper presents an adaptative algorithm for the segmentation of color images suited for document image analysis. The algorithm is based on a serialization of the k-means algor...
102
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WWW
2009
ACM
15 years 4 months ago
2009
ACM
Detection of web attacks is an important issue in current defense-in-depth security framework. In this paper, we propose a novel general framework for adaptive and online detectio...
HIS
2004
14 years 11 months ago
2004
Boosting is a general method for improving the accuracy of a learning algorithm. AdaBoost, short form for Adaptive Boosting method, consists of repeated use of a weak or a base le...