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AMC
2007
164views more  AMC 2007»
15 years 3 months ago
The method of lines for the numerical solution of a mathematical model for capillary formation: The role of endothelial cells in
In this paper we present the method of lines to obtain the numerical solution of a mathematical model for capillary formation in tumor angiogenesis. This method is an approach to ...
Serdal Pamuk, Arzu Erdem
AROBOTS
1999
104views more  AROBOTS 1999»
15 years 2 months ago
Reinforcement Learning Soccer Teams with Incomplete World Models
We use reinforcement learning (RL) to compute strategies for multiagent soccer teams. RL may pro t signi cantly from world models (WMs) estimating state transition probabilities an...
Marco Wiering, Rafal Salustowicz, Jürgen Schm...
SPEECH
2010
154views more  SPEECH 2010»
14 years 10 months ago
Long story short - Global unsupervised models for keyphrase based meeting summarization
act 11 We analyze and compare two different methods for unsupervised extractive spontaneous speech summarization in the meeting 12 domain. Based on utterance comparison, we introdu...
Korbinian Riedhammer, Benoît Favre, Dilek Ha...
ISPASS
2006
IEEE
15 years 9 months ago
Comparing multinomial and k-means clustering for SimPoint
SimPoint is a technique used to pick what parts of the program’s execution to simulate in order to have a complete picture of execution. SimPoint uses data clustering algorithms...
Greg Hamerly, Erez Perelman, Brad Calder
ECCV
2006
Springer
15 years 7 months ago
Learning Semantic Scene Models by Trajectory Analysis
Abstract. In this paper, we describe an unsupervised learning framework to segment a scene into semantic regions and to build semantic scene models from longterm observations of mo...
Xiaogang Wang, Kinh Tieu, Eric Grimson