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» Learning Mixtures of Gaussians
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VISAPP
2007
15 years 7 months ago
Simultaneous robust fitting of multiple curves
In this paper, we address the problem of robustly recovering several instances of a curve model from a single noisy data set with outliers. Using M-estimators revisited in a Lagran...
Jean-Philippe Tarel, Pierre Charbonnier, Sio-Song ...
ICASSP
2011
IEEE
14 years 10 months 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
ICASSP
2011
IEEE
14 years 10 months ago
Loquendo - Politecnico di Torino's 2010 NIST speaker recognition evaluation system
This paper describes the improvement introduced in the Loquendo–Politecnico di Torino (LPT) speaker recognition system submitted to the NIST SRE10 evaluation campaign. This syst...
Fabio Castaldo, Daniele Colibro, Claudio Vair, San...
ICCV
2007
IEEE
16 years 8 months ago
Robust Image Registration using Mixtures of t-distributions
We propose a pixel similarity-based algorithm enabling accurate rigid registration between single and multimodal images presenting gross dissimilarities due to noise, missing data...
Demetrios Gerogiannis, Christophoros Nikou, Aristi...
PAMI
2007
253views more  PAMI 2007»
15 years 5 months ago
Gaussian Mean-Shift Is an EM Algorithm
The mean-shift algorithm, based on ideas proposed by Fukunaga and Hostetler (1975), is a hill-climbing algorithm on the density defined by a finite mixture or a kernel density e...
Miguel Á. Carreira-Perpiñán