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» Combining Gaussian Mixture Models
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ICCV
2007
IEEE
14 years 11 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...
EMMCVPR
2003
Springer
14 years 2 months ago
Asymptotic Characterization of Log-Likelihood Maximization Based Algorithms and Applications
The asymptotic distribution of estimates that are based on a sub-optimal search for the maximum of the log-likelihood function is considered. In particular, estimation schemes that...
Doron Blatt, Alfred O. Hero
ICASSP
2011
IEEE
13 years 24 days ago
Non-parallel training for voice conversion based on FT-GMM
This paper presents a non-parallel training algorithm for voice conversion based on feature transform Gaussian mixture model (FTGMM), which is a mixture model of joint density spa...
Ling-Hui Chen, Zhen-Hua Ling, Li-Rong Dai
ICIP
2006
IEEE
14 years 10 months ago
Video Event Detection using ICA Mixture Hidden Markov Models
In this paper, a framework that combines feature extraction, model learning, and likelihood computation, is presented for video event detection. First, the independent component a...
Jian Zhou, Xiao-Ping Zhang
ECIR
2008
Springer
13 years 10 months ago
Modeling Documents as Mixtures of Persons for Expert Finding
Abstract. In this paper we address the problem of searching for knowledgeable persons within the enterprise, known as the expert finding (or expert search) task. We present a proba...
Pavel Serdyukov, Djoerd Hiemstra