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» Mode-Finding for Mixtures of Gaussian Distributions
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CSDA
2006
82views more  CSDA 2006»
13 years 7 months ago
Nearest neighbours in least-squares data imputation algorithms with different missing patterns
Methods for imputation of missing data in the so-called least-squares approximation approach, a non-parametric computationally efficient multidimensional technique, are experiment...
Ito Wasito, Boris Mirkin
SASO
2008
IEEE
14 years 1 months ago
Pervasive Self-Learning with Multi-modal Distributed Sensors
Truly ubiquitous computing poses new and significant challenges. A huge number of heterogeneous devices will interact to perform complex distributed tasks. One of the key aspects...
Nicola Bicocchi, Marco Mamei, Andrea Prati, Rita C...
CISS
2008
IEEE
14 years 2 months ago
Unsupervised distributional anomaly detection for a self-diagnostic speech activity detector
— One feature that classification algorithms typically lack is the ability to know what they do not know. With this knowledge an algorithm would be able to operate in any domain...
Nash M. Borges, Gerard G. L. Meyer
ICIP
2005
IEEE
14 years 9 months ago
Variational segmentation of color images
A variational Bayesian framework is employed in the paper for image segmentation using color clustering. A Gaussian mixture model is used to represent color distributions. Variati...
Nikolaos Nasios, Adrian G. Bors
ICML
2009
IEEE
14 years 8 months ago
Matrix updates for perceptron training of continuous density hidden Markov models
In this paper, we investigate a simple, mistakedriven learning algorithm for discriminative training of continuous density hidden Markov models (CD-HMMs). Most CD-HMMs for automat...
Chih-Chieh Cheng, Fei Sha, Lawrence K. Saul