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» Approximate Learning of Dynamic Models
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AROBOTS
2006
110views more  AROBOTS 2006»
13 years 11 months ago
Flying over the reality gap: From simulated to real indoor airships
Because of their ability to naturally float in the air, indoor airships (often called blimps) constitute an appealing platform for research in aerial robotics. However, when confr...
Jean-Christophe Zufferey, Alexis Guanella, Antoine...
TASLP
2010
138views more  TASLP 2010»
13 years 5 months ago
Glimpsing IVA: A Framework for Overcomplete/Complete/Undercomplete Convolutive Source Separation
Abstract--Independent vector analysis (IVA) is a method for separating convolutedly mixed signals that significantly reduces the occurrence of the well-known permutation problem in...
Alireza Masnadi-Shirazi, Wenyi Zhang, Bhaskar D. R...
WWW
2009
ACM
14 years 11 months ago
Web 2.0: blind to an accessible new world
With the advent of Web 2.0 technologies, websites have evolved from static pages to dynamic, interactive Web-based applications with the ability to replicate common desktop functi...
Joshua M. Hailpern, Loretta Guarino Reid, Richard ...
CVPR
2004
IEEE
15 years 28 days ago
Bayesian Assembly of 3D Axially Symmetric Shapes from Fragments
We present a complete system for the purpose of automatically assembling 3D pots given 3D measurements of their fragments commonly called sherds. A Bayesian approach is formulated...
Andrew R. Willis, David B. Cooper
NIPS
1998
14 years 8 days ago
Finite-Sample Convergence Rates for Q-Learning and Indirect Algorithms
In this paper, we address two issues of long-standing interest in the reinforcement learning literature. First, what kinds of performance guarantees can be made for Q-learning aft...
Michael J. Kearns, Satinder P. Singh