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FTCGV
2011
122views more  FTCGV 2011»
14 years 7 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»
15 years 10 months 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 9 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
15 years 10 months 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 3 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...