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» A New Way to Introduce Knowledge into Reinforcement Learning
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ICCV
2003
IEEE
15 years 11 months ago
Fast Pose Estimation with Parameter-Sensitive Hashing
Example-based methods are effective for parameter estimation problems when the underlying system is simple or the dimensionality of the input is low. For complex and high-dimensio...
Gregory Shakhnarovich, Paul A. Viola, Trevor Darre...
93
Voted
INFOCOM
2006
IEEE
15 years 3 months ago
Sampling Techniques for Large, Dynamic Graphs
— Peer-to-peer systems are becoming increasingly popular, with millions of simultaneous users and a wide range of applications. Understanding existing systems and devising new pe...
Daniel Stutzbach, Reza Rejaie, Nick G. Duffield, S...
NC
1998
140views Neural Networks» more  NC 1998»
14 years 11 months ago
Recurrent Neural Networks with Iterated Function Systems Dynamics
We suggest a recurrent neural network (RNN) model with a recurrent part corresponding to iterative function systems (IFS) introduced by Barnsley 1] as a fractal image compression ...
Peter Tiño, Georg Dorffner
TVCG
2008
126views more  TVCG 2008»
14 years 9 months ago
Usability Engineering for Augmented Reality: Employing User-Based Studies to Inform Design
A major challenge, and thus opportunity, in the field of human-computer interaction and specifically usability engineering is designing effective user interfaces for emerging techn...
Joseph L. Gabbard, J. Edward Swan II
92
Voted
CVPR
2011
IEEE
14 years 5 months ago
Object Cosegmentation
Cosegmentation is typically defined as the task of jointly segmenting “something similar” in a given set of images. Existing methods are too generic and so far have not demon...
Sara Vicente, Carsten Rother, Vladimir Kolmogorov