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» Learning Visual Invariance
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ECCV
2006
Springer
13 years 11 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
IJCAI
2007
13 years 9 months ago
Learning Policies for Embodied Virtual Agents through Demonstration
Although many powerful AI and machine learning techniques exist, it remains difficult to quickly create AI for embodied virtual agents that produces visually lifelike behavior. T...
Jonathan Dinerstein, Parris K. Egbert, Dan Ventura
AAAI
1998
13 years 9 months ago
Tree Based Discretization for Continuous State Space Reinforcement Learning
Reinforcement learning is an effective technique for learning action policies in discrete stochastic environments, but its efficiency can decay exponentially with the size of the ...
William T. B. Uther, Manuela M. Veloso
GRAPHICSINTERFACE
2000
13 years 9 months ago
Using a 3D Puzzle as a Metaphor for Learning Spatial Relations
We introduce a new metaphor for learning spatial relations--the 3D puzzle. With this metaphor users learn spatial relations by assembling a geometric model themselves. For this pu...
Bernhard Preim, Felix Ritter, Oliver Deussen, Thom...
CORR
2010
Springer
258views Education» more  CORR 2010»
13 years 8 months ago
Single Frame Image super Resolution using Learned Directionlets
In this paper, a new directionally adaptive, learning based, single image super resolution method using multiple direction wavelet transform, called Directionlets is presented. Th...
A. P. Reji, Tessamma Thomas