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AAAI
2008
15 years 2 days ago
Maximum Entropy Inverse Reinforcement Learning
Recent research has shown the benefit of framing problems of imitation learning as solutions to Markov Decision Problems. This approach reduces learning to the problem of recoveri...
Brian Ziebart, Andrew L. Maas, J. Andrew Bagnell, ...
IEICET
2006
60views more  IEICET 2006»
14 years 9 months ago
Temporal Sequences of Patterns with an Inverse Function Delayed Neural Network
A network based on the Inverse Function Delayed (ID) model, which can recall a temporal sequence of patterns, is proposed. The classical problem, that the network is forced to make...
Johan Sveholm, Yoshihiro Hayakawa, Koji Nakajima
CGF
2000
78views more  CGF 2000»
14 years 9 months ago
Using an Intermediate Skeleton and Inverse Kinematics for Motion Retargeting
In this paper, we present a new method for solving the Motion Retargeting Problem, by using an intermediate skeleton. This allows us to convert movements between hierarchically an...
Jean-Sébastien Monzani, Paolo Baerlocher, R...
CORR
2010
Springer
89views Education» more  CORR 2010»
14 years 7 months ago
A Microwave Imaging and Enhancement Technique from Noisy Synthetic Data
: An inverse iterative algorithm for microwave imaging based on moment method solution is presented here. The iterative scheme has been developed on constrained optimization techni...
Anjan Kumar Kundu, Bijoy Bandyopadhyay, Sugata San...
ICCV
2011
IEEE
13 years 9 months ago
Semantic Contours from Inverse Detectors
We study the challenging problem of localizing and classifying category-specific object contours in real world images. For this purpose, we present a simple yet effective method ...
Bharath Hariharan, Pablo Arbelaez, Lubomir Bourdev...