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» From Comparing Clusterings to Combining Clusterings
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TASLP
2008
120views more  TASLP 2008»
13 years 9 months ago
Rapid Speaker Adaptation Using Clustered Maximum-Likelihood Linear Basis With Sparse Training Data
Abstract-- Speaker space based adaptation methods for automatic speech recognition have been shown to provide significant performance improvements for tasks where only a few second...
Yun Tang, Richard Rose
JUCS
2002
93views more  JUCS 2002»
13 years 9 months ago
On the Semiautomatic Generation of WordNet Type Synsets and Clusters
: WordNet (WN) is a lexical knowledge base, first developed for English and then adopted for several Western European languages, which was created as a machinereadable dictionary b...
Florentina Hristea
KAIS
2006
126views more  KAIS 2006»
13 years 9 months ago
Fast and exact out-of-core and distributed k-means clustering
Clustering has been one of the most widely studied topics in data mining and k-means clustering has been one of the popular clustering algorithms. K-means requires several passes ...
Ruoming Jin, Anjan Goswami, Gagan Agrawal
CLUSTER
2005
IEEE
14 years 2 months ago
Minimizing the Network Overhead of Checkpointing in Cycle-harvesting Cluster Environments
Cycle-harvesting systems such as Condor have been developed to make desktop machines in a local area (which are often similar to clusters in hardware configuration) available as ...
Daniel Nurmi, John Brevik, Richard Wolski
HPCA
2003
IEEE
14 years 9 months ago
Evaluating the Impact of Communication Architecture on the Performability of Cluster-Based Services
We consider the impact of different communication architectures on the performability (performance + availability) of cluster-based servers. In particular, we use a combination of ...
Kiran Nagaraja, Neeraj Krishnan, Ricardo Bianchini...