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CVPR
2010
IEEE
14 years 4 months ago
Unsupervised Learning of Invariant Features Using Video
We present an algorithm that learns invariant features from real data in an entirely unsupervised fashion. The principal benefit of our method is that it can be applied without hu...
David Stavens, Sebastian Thrun
CRV
2009
IEEE
115views Robotics» more  CRV 2009»
14 years 2 months ago
Learning Model Complexity in an Online Environment
In this paper we introduce the concept and method for adaptively tuning the model complexity in an online manner as more examples become available. Challenging classification pro...
Dan Levi, Shimon Ullman
ICMI
2007
Springer
121views Biometrics» more  ICMI 2007»
14 years 2 months ago
A tactile language for intuitive human-robot communication
Abstract— This paper presents a tactile language for controlling a robot through its artificial skin. This language greatly improves the multimodal human-robot communication by ...
Andreas J. Schmid, Martin Hoffmann, Heinz Wör...
SIGCSE
2006
ACM
172views Education» more  SIGCSE 2006»
14 years 1 months ago
Computing in context: integrating an embedded computing project into a course on ethical and societal issues
A hands-on embedded computing project is introduced into an undergraduate social sciences course. In the pilot module, nine student teams created working prototypes, using the tec...
Fred G. Martin, Sarah Kuhn
CDC
2008
IEEE
113views Control Systems» more  CDC 2008»
14 years 2 months ago
Norm optimal Cross-Coupled Iterative Learning Control
— In this paper, we focus on improving contour tracking in precision motion control (PMC) applications through the use of Cross-Coupled Iterative Learning Control (CCILC). Initia...
Kira Barton, Jeroen van de Wijdeven, Andrew Alleyn...