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» Dirichlet Process Mixtures of Generalized Linear Models
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135
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ICASSP
2011
IEEE
14 years 7 months ago
Structured precision modelling with Cholesky Basis Superposition for speech recognition
Structured precision modelling is an important approach to improve the intra-frame correlation modelling of the standard HMM, where Gaussian mixture model with diagonal covariance...
Lei Jia, Kai Yu, Bo Xu

Publication
338views
16 years 2 months ago
Shape from Shading with a Generalized Reflectance Map Model
Most conventional SFS (shape from shading) algorithms have been developed under three basic assumptions on surface properties and imaging geometry to simplify the problem, namely, ...
Kyoung Mu Lee (Seoul National University), C.-C. J...
148
Voted
ICASSP
2011
IEEE
14 years 7 months ago
Supervised nonlinear spectral unmixing using a polynomial post nonlinear model for hyperspectral imagery
This paper studies a hierarchical Bayesian model for nonlinear hyperspectral image unmixing. The proposed model assumes that the pixel reflectances are polynomial functions of li...
Yoann Altmann, Abderrahim Halimi, Nicolas Dobigeon...
ICA
2007
Springer
15 years 10 months ago
Modeling Perceptual Similarity of Audio Signals for Blind Source Separation Evaluation
Existing perceptual models of audio quality, such as PEAQ, were designed to measure audio codec performance and are not well suited to evaluation of audio source separation algorit...
Brendan Fox, Andrew T. Sabin, Bryan Pardo, Alec Zo...
128
Voted
ICIP
2008
IEEE
15 years 10 months ago
Multi-object tracking using binary masks
In this paper, we introduce a new method for tracking multiple objects. The method combines Kalman filtering and the Expectation Maximization (EM) algorithm in a novel way to dea...
Sami Huttunen, Janne Heikkilä