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CORR
2008
Springer
119views Education» more  CORR 2008»
15 years 7 days ago
Unified storage systems for distributed Tier-2 centres
The start of data taking at the Large Hadron Collider will herald a new era in data volumes and distributed processing in particle physics. Data volumes of hundreds of Terabytes wi...
Greig A. Cowan, Graeme A. Stewart, Andrew Elwell
COMSWARE
2006
IEEE
15 years 7 months ago
Exploiting multi-channel clustering for power efficiency in sensor networks
Sensor networks typically comprise of a number of inexpensive small devices with processing, communication and sensing abilities that collaborate to perform a common task. Sensor d...
Ashima Gupta, Chao Gui, Prasant Mohapatra
ML
2010
ACM
127views Machine Learning» more  ML 2010»
15 years 3 days ago
Stability and model selection in k-means clustering
Abstract Clustering Stability methods are a family of widely used model selection techniques for data clustering. Their unifying theme is that an appropriate model should result in...
Ohad Shamir, Naftali Tishby
KI
2007
Springer
15 years 7 months ago
Relational Neural Gas
Abstract. Prototype-based clustering algorithms such as the Self Organizing Map (SOM) or Neural Gas (NG) offer powerful tools for automated data inspection. The distribution of pr...
Barbara Hammer, Alexander Hasenfuss
COLT
2003
Springer
15 years 7 months ago
Learning from Uncertain Data
The application of statistical methods to natural language processing has been remarkably successful over the past two decades. But, to deal with recent problems arising in this ï¬...
Mehryar Mohri