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» Some Notes on Models and Modelling
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TASLP
2010
97views more  TASLP 2010»
14 years 10 months ago
Hierarchical Bayesian Language Models for Conversational Speech Recognition
Traditional n-gram language models are widely used in state-of-the-art large vocabulary speech recognition systems. This simple model suffers from some limitations, such as overfi...
Songfang Huang, Steve Renals
134
Voted
CORR
2012
Springer
163views Education» more  CORR 2012»
13 years 11 months ago
The Structure of Signals: Causal Interdependence Models for Games of Incomplete Information
Traditional economic models typically treat private information, or signals, as generated from some underlying state. Recent work has explicated alternative models, where signals ...
Michael P. Wellman, Lu Hong, Scott E. Page
150
Voted
ECCV
2008
Springer
16 years 5 months ago
Locating Facial Features with an Extended Active Shape Model
We make some simple extensions to the Active Shape Model of Cootes et al. [4], and use it to locate features in frontal views of upright faces. We show on independent test data tha...
Stephen Milborrow, Fred Nicolls
113
Voted
ICPR
2002
IEEE
16 years 4 months ago
Bayesian Rendering with Non-Parametric Multiscale Prior Model
This paper investigates the use of the Bayesian inference for devising an example-based rendering procedure. As prior model of this Bayesian inference, we exploit the multiscale n...
Max Mignotte
124
Voted
VLSID
2002
IEEE
97views VLSI» more  VLSID 2002»
16 years 4 months ago
Multiple Faults: Modeling, Simulation and Test
We give an algorithm to model any given multiple stuck-at fault as a single stuck-at fault. The procedure requires insertion of at most ? ? ? modeling gates, when the multiplicity...
Yong Chang Kim, Vishwani D. Agrawal, Kewal K. Salu...