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» Dirichlet process mixture models with multiple modalities
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CORR
2010
Springer
183views Education» more  CORR 2010»
14 years 8 months ago
Discovering shared and individual latent structure in multiple time series
This paper proposes a nonparametric Bayesian method for exploratory data analysis and feature construction in continuous time series. Our method focuses on understanding shared fe...
Suchi Saria, Daphne Koller, Anna Penn
86
Voted
GI
2009
Springer
15 years 1 months ago
Parallelised Gaussian Mixture Filtering for Vehicular Traffic Flow Estimation
: Large traffic network systems require handling huge amounts of data, often distributed over a large geographical region in space and time. Centralised processing is not then the ...
Lyudmila Mihaylova, Amadou Gning, Viktor Doychinov...
ICIP
2001
IEEE
15 years 11 months ago
Multiresolution Gaussian mixture models for visual motion estimation
This paper introduces a new generalisation of scale-space and pyramids, which combines statistical modelling with a spatial representation. The representation uses the familiar co...
Roland Wilson, Andrew Calway
FINTAL
2006
15 years 1 months ago
Language Model Mixtures for Contextual Ad Placement in Personal Blogs
Abstract. We introduce a method for content-based advertisement selection for personal blog pages, based on combining multiple representations of the blog. The core idea behind the...
Gilad Mishne, Maarten de Rijke
76
Voted
ICASSP
2010
IEEE
14 years 9 months ago
Multilingual acoustic modeling for speech recognition based on subspace Gaussian Mixture Models
Although research has previously been done on multilingual speech recognition, it has been found to be very difficult to improve over separately trained systems. The usual approa...
Lukas Burget, Petr Schwarz, Mohit Agarwal, Pinar A...