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ICASSP
2008
IEEE
14 years 18 days ago
Unsupervised optimal phoneme segmentation: Objectives, algorithm and comparisons
Phoneme segmentation is a fundamental problem in many speech recognition and synthesis studies. Unsupervised phoneme segmentation assumes no knowledge on linguistic contents and a...
Yu Qiao, Naoya Shimomura, Nobuaki Minematsu
ISCA
1998
IEEE
126views Hardware» more  ISCA 1998»
13 years 10 months ago
Switcherland: A QoS Communication Architecture for Workstation Clusters
Computer systems have become powerful enough to process continuous data streams such as video or animated graphics. While processing power and communication bandwidth of today...
Hans Eberle, Erwin Oertli
ICNC
2005
Springer
13 years 11 months ago
A Game-Theoretic Approach to Competitive Learning in Self-Organizing Maps
Abstract. Self-Organizing Maps (SOM) is a powerful tool for clustering and discovering patterns in data. Competitive learning in the SOM training process focusses on finding a neu...
Joseph P. Herbert, Jingtao Yao
JMLR
2012
11 years 8 months ago
Consistency and Rates for Clustering with DBSCAN
We propose a simple and efficient modification of the popular DBSCAN clustering algorithm. This modification is able to detect the most interesting vertical threshold level in a...
Bharath K. Sriperumbudur, Ingo Steinwart
CORIA
2008
13 years 7 months ago
Involving Validity Indices in Document Clustering
The goal of any clustering algorithm is to find the optimal clustering solution with the optimal number of clusters. In order to evaluate a clustering solution, a number of validit...
Ahmad El Sayed, Hakim Hacid, Djamel A. Zighed