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» An overview of clustering methods
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ICPR
2004
IEEE
16 years 8 months ago
Morphology Analysis of Physiological Signals Using Hidden Markov Models
We describe a clustering algorithm based on continuous Hidden Markov Models (HMM) to automatically classify both electrocardiogram (ECG) and intracranial pressure (ICP) beats base...
Daniel Novák, Lenka Lhotská, David C...
ICIP
2009
IEEE
16 years 8 months ago
Effective Initialization Of K-means For Color Quantization
Color quantization is an important operation with many applications in graphics and image processing. Most quantization methods are essentially based on data clustering algorithms...
DAC
2004
ACM
16 years 7 months ago
The best of both worlds: the efficient asynchronous implementation of synchronous specifications
The desynchronization approach combines a traditional synchronous specification style with a robust asynchronous implementation model. The main contribution of this paper is the d...
Abhijit Davare, Kelvin Lwin, Alex Kondratyev, Albe...
ICML
2007
IEEE
16 years 7 months ago
A permutation-augmented sampler for DP mixture models
We introduce a new inference algorithm for Dirichlet process mixture models. While Gibbs sampling and variational methods focus on local moves, the new algorithm makes more global...
Percy Liang, Michael I. Jordan, Benjamin Taskar
ISBI
2004
IEEE
16 years 7 months ago
Detection of Functional Networks In The Resting Brain
Recently, increasing attention has focused on exploring brain activity during rest. A current challenge is to ascertain activity patterns without using an external reference. In t...
Yong He, Yufeng Zang, Tianzi Jiang, Yingli Lu, Xuc...