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» Convergence Properties of the K-Means Algorithms
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TSP
2008
98views more  TSP 2008»
15 years 1 months ago
Fast and Stable YAST Algorithm for Principal and Minor Subspace Tracking
This paper presents a new implementation of the YAST algorithm for principal and minor subspace tracking. YAST was initially derived from the Subspace Projection (SP) algorithm by ...
Roland Badeau, Gaël Richard, Bertrand David
IJON
2007
99views more  IJON 2007»
15 years 1 months ago
A relative trust-region algorithm for independent component analysis
In this paper we present a method of parameter optimization, relative trust-region learning, where the trust-region method and the relative optimization [21] are jointly exploited...
Heeyoul Choi, Seungjin Choi
COLT
2005
Springer
15 years 6 months ago
On Spectral Learning of Mixtures of Distributions
We consider the problem of learning mixtures of distributions via spectral methods and derive a tight characterization of when such methods are useful. Specifically, given a mixt...
Dimitris Achlioptas, Frank McSherry
ICARIS
2003
Springer
15 years 6 months ago
A Randomized Real-Valued Negative Selection Algorithm
This paper presents a real-valued negative selection algorithm with good mathematical foundation that solves some of the drawbacks of our previous approach [11]. Specifically, it ...
Fabio A. González, Dipankar Dasgupta, Luis ...
PIMRC
2008
IEEE
15 years 7 months ago
Bayesian inference in linear models with a random Gaussian matrix : Algorithms and complexity
—We consider the Bayesian inference of a random Gaussian vector in a linear model with a random Gaussian matrix. We review two approaches to finding the MAP estimator for this m...
Ido Nevat, Gareth W. Peters, Jinhong Yuan