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» Learning Mixtures of Gaussians
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ECCV
2010
Springer
15 years 10 months ago
Efficient Highly Over-Complete Sparse Coding using a Mixture Model
Sparse coding of sensory data has recently attracted notable attention in research of learning useful features from the unlabeled data. Empirical studies show that mapping the data...
ICML
2009
IEEE
16 years 7 months ago
Analytic moment-based Gaussian process filtering
We propose an analytic moment-based filter for nonlinear stochastic dynamic systems modeled by Gaussian processes. Exact expressions for the expected value and the covariance matr...
Marc Peter Deisenroth, Marco F. Huber, Uwe D. Hane...
COLT
2007
Springer
16 years 18 days ago
On-Line Estimation with the Multivariate Gaussian Distribution
We consider on-line density estimation with the multivariate Gaussian distribution. In each of a sequence of trials, the learner must posit a mean µ and covariance Σ; the learner...
Sanjoy Dasgupta, Daniel Hsu
ICML
2003
IEEE
16 years 7 months ago
Semi-Supervised Learning Using Gaussian Fields and Harmonic Functions
An approach to semi-supervised learning is proposed that is based on a Gaussian random field model. Labeled and unlabeled data are represented as vertices in a weighted graph, wit...
Xiaojin Zhu, Zoubin Ghahramani, John D. Lafferty
MICCAI
2002
Springer
16 years 7 months ago
Validation of Tissue Modelization and Classification Techniques in T1-Weighted MR Brain Images
Abstract. We propose a deep study on tissue modelization and classification Techniques on T1-weighted MR images. Three approaches have been taken into account to perform this valid...
Meritxell Bach Cuadra, Bram Platel, Eduardo Solana...