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» On the Autoreducibility of Random Sequences
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NIPS
2001
13 years 9 months ago
Linking Motor Learning to Function Approximation: Learning in an Unlearnable Force Field
Reaching movements require the brain to generate motor commands that rely on an internal model of the task's dynamics. Here we consider the errors that subjects make early in...
O. Donchin, Reza Shadmehr
RIAO
2000
13 years 9 months ago
Statistical motion-based video indexing and retrieval
We propose an original approach for the characterization of video dynamic content with a view to supplying new functionalities for motion-based video indexing and retrieval with q...
Ronan Fablet, Patrick Bouthemy, P. Perez
AAAI
1992
13 years 9 months ago
Inferring Finite Automata with Stochastic Output Functions and an Application to Map Learning
It is often useful for a robot to construct a spatial representation of its environment from experiments and observations, in other words, to learn a map of its environment by exp...
Thomas Dean, Dana Angluin, Kenneth Basye, Sean P. ...
COCO
2007
Springer
108views Algorithms» more  COCO 2007»
14 years 2 months ago
The Communication Complexity of Correlation
We examine the communication required for generating random variables remotely. One party Alice will be given a distribution D, and she has to send a message to Bob, who is then r...
Prahladh Harsha, Rahul Jain, David A. McAllester, ...
JSAC
2006
77views more  JSAC 2006»
13 years 7 months ago
Spectral shaping of UWB signals for time-hopping impulse radio
This paper studies the design of signaling waveforms for time-hopping impulse radio (TH-IR) with limits on the power spectral density. Such restrictions are imposed by the spectra...
Yves-Paul Nakache, Andreas F. Molisch