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PAMI
2008
145views more  PAMI 2008»
13 years 4 months ago
Latent-Space Variational Bayes
Variational Bayesian Expectation-Maximization (VBEM), an approximate inference method for probabilistic models based on factorizing over latent variables and model parameters, has ...
JaeMo Sung, Zoubin Ghahramani, Sung Yang Bang
INTERSPEECH
2010
12 years 11 months ago
Bayesian speaker recognition using Gaussian mixture model and laplace approximation
This paper presents a Bayesian approach for Gaussian mixture model (GMM)-based speaker identification. Some approaches evaluate the speaker score of a test speech utterance using ...
Shih-Sian Cheng, I-Fan Chen, Hsin-Min Wang
ICDM
2009
IEEE
155views Data Mining» more  ICDM 2009»
13 years 11 months ago
Stacked Gaussian Process Learning
—Triggered by a market relevant application that involves making joint predictions of pedestrian and public transit flows in urban areas, we address the question of how to utili...
Marion Neumann, Kristian Kersting, Zhao Xu, Daniel...
JMLR
2006
105views more  JMLR 2006»
13 years 4 months ago
Expectation Correction for Smoothed Inference in Switching Linear Dynamical Systems
We introduce a method for approximate smoothed inference in a class of switching linear dynamical systems, based on a novel form of Gaussian Sum smoother. This class includes the ...
David Barber
NIPS
2000
13 years 6 months ago
Analysis of Bit Error Probability of Direct-Sequence CDMA Multiuser Demodulators
We analyze the bit error probability of multiuser demodulators for directsequence binary phase-shift-keying (DS/BPSK) CDMA channel with additive gaussian noise. The problem of mul...
Toshiyuki Tanaka