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SOFSEM
2007
Springer
14 years 4 months ago
Incremental Learning of Planning Operators in Stochastic Domains
In this work we assume that there is an agent in an unknown environment (domain). This agent has some predefined actions and it can perceive its current state in the environment c...
Javad Safaei, Gholamreza Ghassem-Sani
VISUALIZATION
1999
IEEE
14 years 2 months ago
Hue-Balls and Lit-Tensors for Direct Volume Rendering of Diffusion Tensor Fields
With the development of magnetic resonance imaging techniques for acquiring diffusion tensor data from biological tissue, visualization of tensor data has become a new research fo...
Gordon L. Kindlmann, David M. Weinstein
IWAN
1999
Springer
14 years 2 months ago
Policy Specification for Programmable Networks
There is a need to be able to program network components to adapt to application requirements for quality of service, specialised application dependent routing, to increase effici...
Morris Sloman, Emil Lupu
ACCV
2006
Springer
14 years 1 months ago
Key Frame-Based Activity Representation Using Antieigenvalues
Many activities may be characterized by a sequence of key frames that are related to important changes in motion rather than dominant characteristics that persist over a long seque...
Naresh P. Cuntoor, Rama Chellappa
AAAI
2004
13 years 11 months ago
Generating Safe Assumption-Based Plans for Partially Observable, Nondeterministic Domains
Reactive planning using assumptions is a well-known approach to tackle complex planning problems for nondeterministic, partially observable domains. However, assumptions may be wr...
Alexandre Albore, Piergiorgio Bertoli