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» Models and Issues in Data Stream Systems
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ICASSP
2009
IEEE
15 years 4 months ago
A flat direct model for speech recognition
We introduce a direct model for speech recognition that assumes an unstructured, i.e., flat text output. The flat model allows us to model arbitrary attributes and dependences o...
Georg Heigold, Geoffrey Zweig, Xiao Li, Patrick Ng...
ECUMN
2007
Springer
15 years 3 months ago
Context-Sensitive Security Framework for Pervasive Environments
Pervasive systems enable us to have an overview of what digital environments will look like in the future. Opportunities given by pervasive systems, both in terms of applications ...
Charles-Eric Pigeot, Yann Gripay, Vasile-Marian Sc...
PR
2010
129views more  PR 2010»
14 years 8 months ago
Parsimonious reduction of Gaussian mixture models with a variational-Bayes approach
Aggregating statistical representations of classes is an important task for current trends in scaling up learning and recognition, or for addressing them in distributed infrastruc...
Pierrick Bruneau, Marc Gelgon, Fabien Picarougne
UAI
2004
14 years 11 months ago
Bayesian Biosurveillance of Disease Outbreaks
Early, reliable detection of disease outbreaks is a critical problem today. This paper reports an investigation of the use of causal Bayesian networks to model spatio-temporal pat...
Gregory F. Cooper, Denver Dash, John Levander, Wen...
ICCV
2011
IEEE
13 years 9 months ago
DTAM: Dense Tracking and Mapping in Real-Time
DTAM is a system for real-time camera tracking and reconstruction which relies not on feature extraction but dense, every pixel methods. As a single hand-held RGB camera flies ov...
Richard A. Newcombe, Steven Lovegrove, Andrew J. D...