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» A New Way to Introduce Knowledge into Reinforcement Learning
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ICCV
2003
IEEE
16 years 1 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...
104
Voted
INFOCOM
2006
IEEE
15 years 5 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»
15 years 1 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 11 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
105
Voted
CVPR
2011
IEEE
14 years 7 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