1595 search results - page 173 / 319 » A hierarchical clustering algorithm based on the Hungarian m... |
156
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ICASSP
2011
IEEE
14 years 10 months ago
2011
IEEE
In recent years, adaptation techniques have been given special focus in speaker recognition tasks, mainly targeting speaker and session variation disentangling under the Maximum a...
173
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GECCO
2006
Springer
15 years 10 months ago
2006
Springer
A boosting algorithm based on cellular genetic programming to build an ensemble of predictors is proposed. The method evolves a population of trees for a fixed number of rounds an...
175
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SDM
2009
SIAM
16 years 3 months ago
2009
SIAM
Process Mining refers to the extraction of process models from event logs. Real-life processes tend to be less structured and more flexible. Traditional process mining algorithms...
183
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ICDM
2003
IEEE
2003
IEEE
Clustering of Time Series Subsequences is Meaningless: Implications for Previous and Future Research
15 years 11 months ago
Given the recent explosion of interest in streaming data and online algorithms, clustering of time series subsequences, extracted via a sliding window, has received much attention...
164
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ICCV
2011
IEEE
14 years 6 months ago
2011
IEEE
We consider the problem of quantizing data generated from disparate sources, e.g. subjects performing actions with different styles, movies with particular genre bias, various con...