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ICTAI
2010
IEEE
13 years 5 months ago
Unsupervised Greedy Learning of Finite Mixture Models
This work deals with a new technique for the estimation of the parameters and number of components in a finite mixture model. The learning procedure is performed by means of a expe...
Nicola Greggio, Alexandre Bernardino, Cecilia Lasc...
BIBE
2003
IEEE
116views Bioinformatics» more  BIBE 2003»
14 years 1 months ago
An Assessment of a Metric Space Database Index to Support Sequence Homology
Hierarchical metric-space clustering methods have been commonly used to organize proteomes into taxonomies. Consequently, it is often anticipated that hierarchical clustering can ...
Rui Mao, Weijia Xu, Neha Singh, Daniel P. Miranker
ECRTS
2007
IEEE
14 years 2 months ago
A Hybrid Real-Time Scheduling Approach for Large-Scale Multicore Platforms
We propose a hybrid approach for scheduling real-time tasks on large-scale multicore platforms with hierarchical shared caches. In this approach, a multicore platform is partition...
John M. Calandrino, James H. Anderson, Dan P. Baum...
CCGRID
2007
IEEE
14 years 2 months ago
Hierarchical Replication Control in a Global File System
We develop a consistent mutable replication extension for NFSv4 tuned to meet the rigorous demands of largescale data sharing in global collaborations. The system uses a hierarchi...
Jiaying Zhang, Peter Honeyman
SSDBM
2005
IEEE
218views Database» more  SSDBM 2005»
14 years 1 months ago
The "Best K" for Entropy-based Categorical Data Clustering
With the growing demand on cluster analysis for categorical data, a handful of categorical clustering algorithms have been developed. Surprisingly, to our knowledge, none has sati...
Keke Chen, Ling Liu