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» Learning and prediction of slip from visual information
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EDBT
2009
ACM
123views Database» more  EDBT 2009»
14 years 2 months ago
High-performance information extraction with AliBaba
A wealth of information is available only in web pages, patents, publications etc. Extracting information from such sources is challenging, both due to the typically complex langu...
Peter Palaga, Long Nguyen, Ulf Leser, Jörg Ha...
EATCS
1998
250views more  EATCS 1998»
13 years 7 months ago
Human Visual Perception and Kolmogorov Complexity: Revisited
Experiments have shown [2] that we can only memorize images up to a certain complexity level, after which, instead of memorizing the image itself, we, sort of, memorize a probabil...
Vladik Kreinovich, Luc Longpré
ICSE
2007
IEEE-ACM
14 years 1 months ago
Enhancing Software Testing by Judicious Use of Code Coverage Information
Recently, tools for the analysis and visualization of code coverage have become widely available. At first glance, their value in assessing and improving the quality of automated ...
Stefan Berner, Roland Weber, Rudolf K. Keller
COLT
2010
Springer
13 years 5 months ago
Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
We present a new family of subgradient methods that dynamically incorporate knowledge of the geometry of the data observed in earlier iterations to perform more informative gradie...
John Duchi, Elad Hazan, Yoram Singer
IDEAL
2009
Springer
14 years 2 months ago
STORM - A Novel Information Fusion and Cluster Interpretation Technique
Abstract. Analysis of data without labels is commonly subject to scrutiny by unsupervised machine learning techniques. Such techniques provide more meaningful representations, usef...
Jan Feyereisl, Uwe Aickelin