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INTERSPEECH
2010
13 years 1 months ago
Boosted mixture learning of Gaussian mixture HMMs for speech recognition
In this paper, we propose a novel boosted mixture learning (BML) framework for Gaussian mixture HMMs in speech recognition. BML is an incremental method to learn mixture models fo...
Jun Du, Yu Hu, Hui Jiang
PAKDD
2005
ACM
184views Data Mining» more  PAKDD 2005»
14 years 8 days ago
Adjusting Mixture Weights of Gaussian Mixture Model via Regularized Probabilistic Latent Semantic Analysis
Mixture models, such as Gaussian Mixture Model, have been widely used in many applications for modeling data. Gaussian mixture model (GMM) assumes that data points are generated fr...
Luo Si, Rong Jin
ICIAP
2007
ACM
14 years 28 days ago
Rigid Image Registration based on Pixel Grouping
We propose a pixel similarity-based algorithm enabling accurate rigid registration between single and multimodal images. The method relies on the partitioning of a reference image...
Demetrios Gerogiannis, Christophoros Nikou, Aristi...
ECCV
2006
Springer
14 years 8 months ago
Density Estimation Using Mixtures of Mixtures of Gaussians
In this paper we present a new density estimation algorithm using mixtures of mixtures of Gaussians. The new algorithm overcomes the limitations of the popular Expectation Maximiza...
Wael Abd-Almageed, Larry S. Davis
IDA
2009
Springer
13 years 4 months ago
A Cascade System for Solving Permutation and Gain Problems in Frequency-Domain BSS
Abstract. This paper presents a novel technique for separating convolutive mixtures of statistically independent non-Gaussian signals. The time-domain convolution is transformed in...
Daniel I. Iglesia, Héctor J. Pérez-I...