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» Combining Learned Discrete and Continuous Action Models
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IEEEARES
2006
IEEE
15 years 10 months ago
Modeling Dependable Systems using Hybrid Bayesian Networks
A hybrid Bayesian Network (BN) is one that incorporates both discrete and continuous nodes. In our extensive applications of BNs for system dependability assessment the models are...
Martin Neil, Manesh Tailor, Norman E. Fenton, Davi...
CVPR
2003
IEEE
16 years 6 months ago
The Optimal Distance Measure for Object Detection
We develop a multi-class object detection framework whose core component is a nearest neighbor search over object part classes. The performance of the overall system is critically...
Shyjan Mahamud, Martial Hebert
CVPR
2005
IEEE
16 years 6 months ago
2D Statistical Models of Facial Expressions for Realistic 3D Avatar Animation
We address the issue of modelling facial expressions for realistic 3D avatar animation. We introduce a hierarchical decomposition of a human face into different components and mod...
Lukasz Zalewski, Shaogang Gong
IJCAI
2007
15 years 5 months ago
Learning Policies for Embodied Virtual Agents through Demonstration
Although many powerful AI and machine learning techniques exist, it remains difficult to quickly create AI for embodied virtual agents that produces visually lifelike behavior. T...
Jonathan Dinerstein, Parris K. Egbert, Dan Ventura
AVSS
2009
IEEE
15 years 7 months ago
Bayesian Bio-inspired Model for Learning Interactive Trajectories
—Automatic understanding of human behavior is an important and challenging objective in several surveillance applications. One of the main problems of this task consists in accur...
Alessio Dore, Carlo S. Regazzoni