Sciweavers

348 search results - page 16 / 70
» Distributed Approximation Algorithm for Resource Clustering
Sort
View
ICASSP
2011
IEEE
14 years 5 months ago
Distributed training of large scale exponential language models
Shrinkage-based exponential language models, such as the recently introduced Model M, have provided significant gains over a range of tasks [1]. Training such models requires a l...
Abhinav Sethy, Stanley F. Chen, Bhuvana Ramabhadra...
ICDM
2008
IEEE
230views Data Mining» more  ICDM 2008»
15 years 8 months ago
Clustering Distributed Time Series in Sensor Networks
Event detection is a critical task in sensor networks, especially for environmental monitoring applications. Traditional solutions to event detection are based on analyzing one-sh...
Jie Yin, Mohamed Medhat Gaber
WSCG
2004
139views more  WSCG 2004»
15 years 3 months ago
Clustering in Virtual Plant Ecosystems
The spatial plant distribution in virtual ecosystems is usually modeled by means of artificial life. Each plant is considered as a solitary element competing for its resources and...
Bedrich Benes, J. M. Soto Guerrero
PODS
2009
ACM
119views Database» more  PODS 2009»
16 years 2 months ago
Exceeding expectations and clustering uncertain data
Database technology is playing an increasingly important role in understanding and solving large-scale and complex scientific and societal problems and phenomena, for instance, un...
Sudipto Guha, Kamesh Munagala
KDD
2005
ACM
166views Data Mining» more  KDD 2005»
16 years 2 months ago
A general model for clustering binary data
Clustering is the problem of identifying the distribution of patterns and intrinsic correlations in large data sets by partitioning the data points into similarity classes. This p...
Tao Li