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» Simplifying Mixture Models Using the Unscented Transform
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ICMCS
2005
IEEE
145views Multimedia» more  ICMCS 2005»
13 years 10 months ago
Gaussian Mixture Modeling Using Short Time Fourier Transform Features for Audio Fingerprinting
In audio fingerprinting, an audio clip must be recognized by matching an extracted fingerprint to a database of previously computed fingerprints. The fingerprints should reduc...
Arunan Ramalingam, Sridhar Krishnan
VLSISP
1998
191views more  VLSISP 1998»
13 years 4 months ago
Image Compression Using KLT, Wavelets and an Adaptive Mixture of Principal Components Model
In this paper, we present preliminary results comparing the nature of the errors introduced by the mixture of principal components (MPC) model with a wavelet transform and the Karh...
Nanda Kambhatla, Simon Haykin, Robert D. Dony
BMCBI
2010
105views more  BMCBI 2010»
13 years 5 months ago
Evaluation of fecal mRNA reproducibility via a marginal transformed mixture modeling approach
Background: Developing and evaluating new technology that enables researchers to recover gene-expression levels of colonic cells from fecal samples could be key to a non-invasive ...
Nysia I. George, Joanne R. Lupton, Nancy D. Turner...
ICASSP
2011
IEEE
12 years 8 months ago
Non-linear noise compensation for robust speech recognition using Gauss-Newton method
In this paper, we present the Gauss-Newton method as a unified approach to optimizing non-linear noise compensation models, such as vector Taylor series (VTS), data-driven parall...
Yong Zhao, Biing-Hwang Juang
ICASSP
2009
IEEE
13 years 11 months ago
Joint map adaptation of feature transformation and Gaussian Mixture Model for speaker recognition
This paper extends our previous work on feature transformationbased support vector machines for speaker recognition by proposing a joint MAP adaptation of feature transformation (...
Donglai Zhu, Bin Ma, Haizhou Li