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» A Model Driven Framework for IT Transformation
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CVPR
2010
IEEE
15 years 9 months ago
Real-time Tracking of Multiple Occluding Objects using Level Sets
We derive a probabilistic framework for robust, realtime, visual tracking of multiple previously unseen objects from a moving camera. This framework models the discrete depth orde...
Charles Bibby, Ian Reid
CG
2005
Springer
15 years 6 months ago
Enhancing collaboration in virtual reality applications
We derive a complete component framework for transforming standalone VR applications into full-fledged multithreaded Collaborative Virtual Reality Environments (CVREs), after char...
Víctor Theoktisto, Marta Fairén Gonz...
ICMLA
2008
15 years 7 months ago
Prediction-Directed Compression of POMDPs
High dimensionality of belief space in Partially Observable Markov Decision Processes (POMDPs) is one of the major causes that severely restricts the applicability of this model. ...
Abdeslam Boularias, Masoumeh T. Izadi, Brahim Chai...
SPEECH
1998
171views more  SPEECH 1998»
15 years 5 months ago
Heteroscedastic discriminant analysis and reduced rank HMMs for improved speech recognition
We present the theory for heteroscedastic discriminant analysis (HDA), a model-based generalization of linear discriminant analysis (LDA) derived in the maximum-likelihood framewo...
Nagendra Kumar, Andreas G. Andreou
ICASSP
2011
IEEE
14 years 10 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