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ACSAC
2009
IEEE
14 years 2 months ago
An Empirical Approach to Modeling Uncertainty in Intrusion Analysis
: © An Empirical Approach to Modeling Uncertainty in Intrusion Analysis Xinming Ou, Siva Raj Rajagopalan, Sakthiyuvaraja Sakthivelmurugan HP Laboratories HPL-2009-334 intrusion de...
Xinming Ou, Siva Raj Rajagopalan, Sakthiyuvaraja S...
BIODATAMINING
2008
140views more  BIODATAMINING 2008»
13 years 8 months ago
Modeling gene-by-environment interaction in comorbid depression with alcohol use disorders via an integrated bioinformatics appr
Background: Comorbidity of Major Depressive Disorder (depression) and Alcohol Use Disorders (AUD) is well documented. Depression, AUD, and the comorbidity of depression with AUD s...
Richard C. McEachin, Benjamin J. Keller, Erika F. ...
CVIU
2006
162views more  CVIU 2006»
13 years 7 months ago
Unsupervised scene analysis: A hidden Markov model approach
This paper presents a new approach to scene analysis, which aims at extracting structured information from a video sequence using directly low-level data. The method models the se...
Manuele Bicego, Marco Cristani, Vittorio Murino
ICCV
2007
IEEE
14 years 9 months ago
A Nonlinear Discriminative Approach to AAM Fitting
The Active Appearance Model (AAM) is a powerful generative method for modeling and registering deformable visual objects. Most methods for AAM fitting utilize a linear parameter u...
Jason Saragih, Roland Göcke
ICRA
2010
IEEE
137views Robotics» more  ICRA 2010»
13 years 6 months ago
Robot reinforcement learning using EEG-based reward signals
Abstract— Reinforcement learning algorithms have been successfully applied in robotics to learn how to solve tasks based on reward signals obtained during task execution. These r...
Iñaki Iturrate, Luis Montesano, Javier Ming...