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» An Adaptive Approach to Data Placement
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ICDM
2009
IEEE
167views Data Mining» more  ICDM 2009»
13 years 7 months ago
Self-Adaptive Anytime Stream Clustering
Clustering streaming data requires algorithms which are capable of updating clustering results for the incoming data. As data is constantly arriving, time for processing is limited...
Philipp Kranen, Ira Assent, Corinna Baldauf, Thoma...
ICASSP
2008
IEEE
14 years 4 months ago
Online tracking of the degree of nonlinearity within complex signals
A novel method for online tracking of the changes in the nonlinearity within complex–valued signals is introduced. This is achieved by a collaborative adaptive signal processing...
Danilo P. Mandic, Phebe Vayanos, Soroush Javidi, B...
JUCS
2008
125views more  JUCS 2008»
13 years 10 months ago
Improving AEH Courses through Log Analysis
: Authoring in adaptive educational hypermedia environment is complex activity. In order to promote a wider application of this technology, the teachers and course designers need s...
César Vialardi Sacín, Javier Bravo, ...
ICDE
2006
IEEE
177views Database» more  ICDE 2006»
14 years 11 months ago
Closest-Point-of-Approach Join for Moving Object Histories
In applications that produce a large amount of data describing the paths of moving objects, there is a need to ask questions about the interaction of objects over a long recorded ...
Subramanian Arumugam, Chris Jermaine
ICASSP
2010
IEEE
13 years 10 months ago
A kernel mean matching approach for environment mismatch compensation in speech recognition
The mismatch between training and test environmental conditions presents a challenge to speech recognition systems. In this paper, we investigate an approach for matching the dist...
Abhishek Kumar, John H. L. Hansen