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CVPR
2011
IEEE
13 years 4 months ago
What You Saw is Not What You Get: Domain Adaptation Using Asymmetric Kernel Transforms
In real-world applications, “what you saw” during training is often not “what you get” during deployment: the distribution and even the type and dimensionality of features...
Brian Kulis, Kate Saenko, Trevor Darrell
ICRA
2005
IEEE
142views Robotics» more  ICRA 2005»
14 years 2 months ago
A Real-Time Haptic/Graphic Demonstration of how Error Augmentation can Enhance Learning
– We developed a real-time controller for a 2 degree-of-freedom robotic system using xPC Target. This system was used to investigate how different methods of performance error fe...
Yejun Wei, James L. Patton, Preeti Bajaj, Robert S...
FM
2006
Springer
146views Formal Methods» more  FM 2006»
14 years 13 days ago
Formal Modeling of Communication Protocols by Graph Transformation
Formal modeling is a crucial first step in the analysis of safety critical communication protocols such as IP Telephony. These protocols are notoriously resistant to formal modelin...
Zarrin Langari, Richard J. Trefler
ICPR
2006
IEEE
14 years 10 months ago
Statistical Model for the Classification of the Wavelet Transforms of T-ray Pulses
This study applies Auto Regressive (AR) and Auto Regressive Moving Average (ARMA) modeling to wavelet decomposed terahertz pulsed signals to assist biomedical diagnosis and mail/p...
Bradley Ferguson, Brian Wai-Him Ng, Derek Abbott, ...
ICRA
2002
IEEE
128views Robotics» more  ICRA 2002»
14 years 1 months ago
Generation of a Task Model by Integrating Multiple Observations of Human Demonstrations
This paper describes a new approach on how to teach a robot everyday manipulation tasks under the “Learning from Observation” framework. Most of the approaches so far assume t...
Koichi Ogawara, Jun Takamatsu, Hiroshi Kimura, Kat...