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ICASSP
2011
IEEE
14 years 10 months ago
Learning non-parametric models of pronunciation
As more data becomes available for a given speech recognition task, the natural way to improve recognition accuracy is to train larger models. But, while this strategy yields mode...
Brian Hutchinson, Jasha Droppo
CVPR
2003
IEEE
16 years 8 months ago
Implicit Meshes for Modeling and Reconstruction
Explicit surfaces, such as triangulations or wireframe models, have been extensively used to represent the deformable 3?D models that are used to fit 3?D point and 2?D silhouette ...
Slobodan Ilic, Pascal Fua
ICPR
2004
IEEE
16 years 7 months ago
An Enhanced Appearance Model for Ultrasound Image Segmentation
Active Appearance Model (AAM) [1] had been popular on object segmentation for medical images. However, its performance is not good on Ultrasound (US) images. In this paper, we pro...
Feng Cen, Hung-Tat Tsui, Tze Kin Lau, Yifeng Jiang...
ICML
2006
IEEE
16 years 7 months ago
Hidden process models
We introduce Hidden Process Models (HPMs), a class of probabilistic models for multivariate time series data. The design of HPMs has been motivated by the challenges of modeling h...
Rebecca Hutchinson, Tom M. Mitchell, Indrayana Rus...
KDD
2008
ACM
183views Data Mining» more  KDD 2008»
16 years 7 months ago
A bayesian mixture model with linear regression mixing proportions
Classic mixture models assume that the prevalence of the various mixture components is fixed and does not vary over time. This presents problems for applications where the goal is...
Xiuyao Song, Chris Jermaine, Sanjay Ranka, John Gu...