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FTCGV
2011
122views more  FTCGV 2011»
14 years 9 months ago
Structured Learning and Prediction in Computer Vision
Powerful statistical models that can be learned efficiently from large amounts of data are currently revolutionizing computer vision. These models possess a rich internal structur...
Sebastian Nowozin, Christoph H. Lampert
ICARCV
2008
IEEE
162views Robotics» more  ICARCV 2008»
16 years 19 days ago
Comparison of recent architectures of emotions
– In this paper we present a generic computational model to include emotion and personality in the behaviour of a robot. This model is based on a comparison of recent computation...
Thi-Hai-Ha Dang, Sabine Letellier-Zarshenas, Domin...
INFOCOM
2005
IEEE
15 years 11 months ago
Modelling and stability of FAST TCP
We discuss the modelling of FAST TCP and prove four stability results. Using the traditional continuous-time flow model, we prove, for general networks, that FAST TCP is globally ...
Jiantao Wang, David X. Wei, Steven H. Low
ANSS
2006
IEEE
16 years 7 days ago
An Integrative Modelling Approach for Simulation and Analysis of Adaptive Agents
To simulate adaptive agents with abilities matching those of their real-world counterparts, a natural approach is to incorporate adaptation mechanisms such as classical conditioni...
Tibor Bosse, Catholijn M. Jonker, Jan Treur
AI
2000
Springer
15 years 6 months ago
Stochastic dynamic programming with factored representations
Markov decisionprocesses(MDPs) haveproven to be popular models for decision-theoretic planning, but standard dynamic programming algorithms for solving MDPs rely on explicit, stat...
Craig Boutilier, Richard Dearden, Moisés Go...