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ICML
2010
IEEE
15 years 8 months ago
Clustering processes
The problem of clustering is considered, for the case when each data point is a sample generated by a stationary ergodic process. We propose a very natural asymptotic notion of co...
Daniil Ryabko
192
Voted
CORR
2008
Springer
129views Education» more  CORR 2008»
15 years 7 months ago
Hierarchical Bayesian sparse image reconstruction with application to MRFM
This paper presents a hierarchical Bayesian model to reconstruct sparse images when the observations are obtained from linear transformations and corrupted by an additive white Gau...
Nicolas Dobigeon, Alfred O. Hero, Jean-Yves Tourne...
JMLR
2006
132views more  JMLR 2006»
15 years 7 months ago
Accurate Error Bounds for the Eigenvalues of the Kernel Matrix
The eigenvalues of the kernel matrix play an important role in a number of kernel methods, in particular, in kernel principal component analysis. It is well known that the eigenva...
Mikio L. Braun
194
Voted
ANOR
2005
120views more  ANOR 2005»
15 years 6 months ago
Solving the Vehicle Routing Problem with Stochastic Demands using the Cross-Entropy Method
An alternate formulation of the classical vehicle routing problem with stochastic demands (VRPSD) is considered. We propose a new heuristic method to solve the problem. The algori...
Krishna Chepuri, Tito Homem-de-Mello
207
Voted
IVC
2002
148views more  IVC 2002»
15 years 6 months ago
Detecting lameness using 'Re-sampling Condensation' and 'multi-stream cyclic hidden Markov models'
A system for the tracking and classification of livestock movements is presented. The combined `tracker-classifier' scheme is based on a variant of Isard and Blakes `Condensa...
Derek R. Magee, Roger D. Boyle