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CORR
2007
Springer
198views Education» more  CORR 2007»
13 years 7 months ago
Clustering and Feature Selection using Sparse Principal Component Analysis
In this paper, we study the application of sparse principal component analysis (PCA) to clustering and feature selection problems. Sparse PCA seeks sparse factors, or linear combi...
Ronny Luss, Alexandre d'Aspremont
IJCAI
2007
13 years 9 months ago
Collapsed Variational Dirichlet Process Mixture Models
Nonparametric Bayesian mixture models, in particular Dirichlet process (DP) mixture models, have shown great promise for density estimation and data clustering. Given the size of ...
Kenichi Kurihara, Max Welling, Yee Whye Teh
CLUSTER
2005
IEEE
14 years 1 months ago
Search-based Job Scheduling for Parallel Computer Workloads
To balance performance goals and allow administrators to declaratively specify high-level performance goals, we apply complete search algorithms to design on-line job scheduling p...
Sangsuree Vasupongayya, Su-Hui Chiang, B. Massey
IPPS
2005
IEEE
14 years 1 months ago
Maximizing the Lifetime of Dominating Sets
We investigate the problem of maximizing the lifetime of wireless ad hoc and sensor networks. Being battery powered, nodes in such networks have to perform their intended task und...
Thomas Moscibroda, Roger Wattenhofer
CLEF
2010
Springer
13 years 8 months ago
A Multi Cue Discriminative Approach to Semantic Place Classification
This paper describes the participation of Idiap-MULTI to the Robot Vision Task at imageCLEF 2010. Our approach was based on a discriminative classification algorithm using multiple...
Marco Fornoni, Jesus Martínez-Gómez,...