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» Generative model-based clustering of directional data
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CVPR
2004
IEEE
14 years 7 months ago
Model-Based Motion Clustering Using Boosted Mixture Modeling
Model-based clustering of motion trajectories can be posed as the problem of learning an underlying mixture density function whose components correspond to motion classes with dif...
Vladimir Pavlovic
WSC
2008
13 years 7 months ago
Automated generation and parameterization of throughput models for semiconductor tools
Cluster tools play an important role in modern semiconductor fabs. Due to their complexity in configuration and their varying material flow, the creation of accurate throughput mo...
Jan Lange, Kilian Schmidt, Roy Borner, Oliver Rose
SDM
2004
SIAM
218views Data Mining» more  SDM 2004»
13 years 6 months ago
Mixture Density Mercer Kernels: A Method to Learn Kernels Directly from Data
This paper presents a method of generating Mercer Kernels from an ensemble of probabilistic mixture models, where each mixture model is generated from a Bayesian mixture density e...
Ashok N. Srivastava
CCGRID
2009
IEEE
14 years 2 days ago
Markov Model Based Disk Power Management for Data Intensive Workloads
—In order to meet the increasing demands of present and upcoming data-intensive computer applications, there has been a major shift in the disk subsystem, which now consists of m...
Rajat Garg, Seung Woo Son, Mahmut T. Kandemir, Pad...
ML
2002
ACM
128views Machine Learning» more  ML 2002»
13 years 5 months ago
A Simple Method for Generating Additive Clustering Models with Limited Complexity
Additive clustering was originally developed within cognitive psychology to enable the development of featural models of human mental representation. The representational flexibili...
Michael D. Lee