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» Sampling-Based Motion Planning Using Predictive Models
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ECCV
2004
Springer
15 years 11 months ago
Adaptive Probabilistic Visual Tracking with Incremental Subspace Update
Visual tracking, in essence, deals with non-stationary data streams that change over time. While most existing algorithms are able to track objects well in controlled environments,...
David A. Ross, Jongwoo Lim, Ming-Hsuan Yang
CHI
2011
ACM
14 years 1 months ago
Modeling users of intelligent systems
While many devices today increasingly have the ability to predict human activities, it is still difficult to build accurate personalized machine learning models. As users today wi...
Stephanie Rosenthal
LAMAS
2005
Springer
15 years 3 months ago
Multi-agent Relational Reinforcement Learning
In this paper we report on using a relational state space in multi-agent reinforcement learning. There is growing evidence in the Reinforcement Learning research community that a r...
Tom Croonenborghs, Karl Tuyls, Jan Ramon, Maurice ...
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CORR
2008
Springer
128views Education» more  CORR 2008»
14 years 9 months ago
Electricity Demand and Energy Consumption Management System
This project describes the electricity demand and energy consumption management system and its application to Southern Peru smelter. It is composted of an hourly demand-forecastin...
Juan Ojeda Sarmiento
TOG
2008
141views more  TOG 2008»
14 years 9 months ago
Simulating knitted cloth at the yarn level
Knitted fabric is widely used in clothing because of its unique and stretchy behavior, which is fundamentally different from the behavior of woven cloth. The properties of knits c...
Jonathan M. Kaldor, Doug L. James, Steve Marschner