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» Combining Gaussian Mixture Models
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FINTAL
2006
14 years 21 days 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
ICIP
2002
IEEE
14 years 10 months ago
Likelihood normalization for face authentication in variable recording conditions
In this paper we evaluate the effectiveness of two likelihood normalization techniques, the Background Model Set (BMS) and the Universal Background Model (UBM), for improving perf...
Kuldip K. Paliwal, Conrad Sanderson
FGR
1998
IEEE
131views Biometrics» more  FGR 1998»
14 years 1 months ago
Tracking and Segmenting People in Varying Lighting Conditions Using Colour
Colour cues were used to obtain robust detection and tracking of people in relatively unconstrained dynamic scenes. Gaussian mixture models were used to estimate probability densi...
Yogesh Raja, Stephen J. McKenna, Shaogang Gong
ICASSP
2011
IEEE
13 years 23 days ago
Large vocabulary continuous speech recognition with context-dependent DBN-HMMS
The context-independent deep belief network (DBN) hidden Markov model (HMM) hybrid architecture has recently achieved promising results for phone recognition. In this work, we pro...
George E. Dahl, Dong Yu, Li Deng, Alex Acero
ECSQARU
2009
Springer
14 years 3 months ago
Probability Density Estimation by Perturbing and Combining Tree Structured Markov Networks
To explore the Perturb and Combine idea for estimating probability densities, we study mixtures of tree structured Markov networks derived by bagging combined with the Chow and Liu...
Sourour Ammar, Philippe Leray, Boris Defourny, Lou...