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» The Measurable Space of Stochastic Processes
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ICASSP
2008
IEEE
15 years 4 months ago
A new Particle Filtering algorithm with structurally optimal importance function
Bayesian estimation in nonlinear stochastic dynamical systems has been addressed for a long time. Among other solutions, Particle Filtering (PF) algorithms propagate in time a Mon...
Boujemaa Ait-El-Fquih, François Desbouvries
INFOCOM
2005
IEEE
15 years 3 months ago
A study of analyzing network traffic as images in real-time
—This paper presents NetViewer, a network measurement approach that can simultaneously detect, identify and visualize attacks and anomalous traffic in real-time by passively moni...
Seong Soo Kim, A. L. Narasimha Reddy
ICML
2002
IEEE
15 years 10 months ago
Pruning Improves Heuristic Search for Cost-Sensitive Learning
This paper addresses cost-sensitive classification in the setting where there are costs for measuring each attribute as well as costs for misclassification errors. We show how to ...
Valentina Bayer Zubek, Thomas G. Dietterich
ICASSP
2011
IEEE
14 years 1 months ago
Perceptual differentiation modeling explains phoneme mispronunciation by non-native speakers
One of the difficulties in second language (L2) learning is the weakness in discriminating between acoustic diversity within an L2 phoneme category and between different categori...
Christos Koniaris, Olov Engwall
CVPR
2010
IEEE
15 years 5 months ago
Modeling and Estimating Persistent Motion with Geometric Flows
We propose a principled framework to model persistent motion in dynamic scenes. In contrast to previous efforts on object tracking and optical flow estimation that focus on local...
Dahua Lin, Eric Grimson, John Fisher