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ICPR
2010
IEEE
14 years 1 months ago
Maximum Likelihood Estimation of Gaussian Mixture Models Using Particle Swarm Optimization
—We present solutions to two problems that prevent the effective use of population-based algorithms in clustering problems. The first solution presents a new representation for ...
Caglar Ari, Selim Aksoy
MVA
2007
146views Computer Vision» more  MVA 2007»
13 years 10 months ago
An Iris Image Quality Assessment Method Based on Laplacian of Gaussian Operation
Iris image quality assessment is an important part of iris recognition system because the qualities of iris images would largely influence the recognition results. In this paper, ...
Jing Wan, XiaoFu He, Pengfei Shi
NIPS
2007
13 years 10 months ago
Gaussian Process Models for Link Analysis and Transfer Learning
In this paper we model relational random variables on the edges of a network using Gaussian processes (GPs). We describe appropriate GP priors, i.e., covariance functions, for dir...
Kai Yu, Wei Chu
NIPS
2007
13 years 10 months ago
Augmented Functional Time Series Representation and Forecasting with Gaussian Processes
We introduce a functional representation of time series which allows forecasts to be performed over an unspecified horizon with progressively-revealed information sets. By virtue...
Nicolas Chapados, Yoshua Bengio
ESANN
2006
13 years 10 months ago
A Gaussian process latent variable model formulation of canonical correlation analysis
Abstract. We investigate a nonparametric model with which to visualize the relationship between two datasets. We base our model on Gaussian Process Latent Variable Models (GPLVM)[1...
Gayle Leen, Colin Fyfe