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» Using model knowledge for learning inverse dynamics
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AAAI
2012
11 years 11 months ago
Manifold Warping: Manifold Alignment over Time
Knowledge transfer is computationally challenging, due in part to the curse of dimensionality, compounded by source and target domains expressed using different features (e.g., do...
Hoa Trong Vu, Clifton Carey, Sridhar Mahadevan
CVPR
2008
IEEE
14 years 11 months ago
Context and observation driven latent variable model for human pose estimation
Current approaches to pose estimation and tracking can be classified into two categories: generative and discriminative. While generative approaches can accurately determine human...
Abhinav Gupta, Trista Chen, Francine Chen, Don Kim...
AGENTS
1999
Springer
14 years 1 months ago
On Being a Teammate: Experiences Acquired in the design of RoboCup Teams
Increasingly, multi-agent systems are being designed for a variety of complex, dynamic domains. E ective agent interactions in such domains raise some of most fundamental research...
Stacy Marsella, Jafar Adibi, Yaser Al-Onaizan, Gal...
AMC
2007
91views more  AMC 2007»
13 years 9 months ago
Deterministic and random synthesis of discrete chaos
In this paper, two anticontrol algorithms for synthesis of discrete chaos are introduced. In these algorithms, the control parameter of a discrete dynamical system is switched, ei...
Miguel Romera, Michael Small, Marius-F. Danca
ICCAD
2002
IEEE
124views Hardware» more  ICCAD 2002»
14 years 5 months ago
Interface specification for reconfigurable components
This paper presents a way of encoding some kinds of dynamic reconfiguration behaviour in the interface portion of circuit descriptions. This has many advantages. The user of a rec...
Satnam Singh