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128
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ICDM
2010
IEEE
108views Data Mining» more  ICDM 2010»
15 years 18 days ago
Assessing Data Mining Results on Matrices with Randomization
Abstract--Randomization is a general technique for evaluating the significance of data analysis results. In randomizationbased significance testing, a result is considered to be in...
Markus Ojala
119
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ICRA
2009
IEEE
115views Robotics» more  ICRA 2009»
15 years 11 days ago
Trajectory generation of robotic fingers based on tri-axial tactile data for cap screwing task
In a previous paper, we developed a robotic finger equipped with optical three-axis tactile sensors, of which the sensing cell can separately detect normal and shearing forces. Wit...
Masahiro Ohka, Nobuyuki Morisawa, Hanafiah B. Yuss...
252
Voted
DAGM
2011
Springer
14 years 2 months ago
Agnostic Domain Adaptation
The supervised learning paradigm assumes in general that both training and test data are sampled from the same distribution. When this assumption is violated, we are in the setting...
Alexander Vezhnevets, Joachim M. Buhmann
ICCV
2009
IEEE
15 years 12 days ago
Real-time visual tracking via Incremental Covariance Tensor Learning
Visual tracking is a challenging problem, as an object may change its appearance due to pose variations, illumination changes, and occlusions. Many algorithms have been proposed t...
Yi Wu, Jian Cheng, Jinqiao Wang, Hanqing Lu
142
Voted
IPPS
2005
IEEE
15 years 8 months ago
Automatic Support for Irregular Computations in a High-Level Language
The problem of writing high performance parallel applications becomes even more challenging when irregular, sparse or adaptive methods are employed. In this paper we introduce com...
Jimmy Su, Katherine A. Yelick
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