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» Multiple Predicate Learning for Document Image Understanding
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KDD
2009
ACM
167views Data Mining» more  KDD 2009»
14 years 6 months ago
Seven pitfalls to avoid when running controlled experiments on the web
Controlled experiments, also called randomized experiments and A/B tests, have had a profound influence on multiple fields, including medicine, agriculture, manufacturing, and adv...
Thomas Crook, Brian Frasca, Ron Kohavi, Roger Long...
IDA
2008
Springer
13 years 5 months ago
Symbolic methodology for numeric data mining
Currently statistical and artificial neural network methods dominate in data mining applications. Alternative relational (symbolic) data mining methods have shown their effectivene...
Boris Kovalerchuk, Evgenii Vityaev
HRI
2006
ACM
13 years 11 months ago
FOCUS: a generalized method for object discovery for robots that observe and interact with humans
The essence of the signal-to-symbol problem consists of associating a symbolic description of an object (e.g., a chair) to a signal (e.g., an image) that captures the real object....
Manuela M. Veloso, Paul E. Rybski, Felix von Hunde...
CVPR
2005
IEEE
14 years 7 months ago
A Two Level Approach for Scene Recognition
Classifying pictures into one of several semantic categories is a classical image understanding problem. In this paper, we present a stratified approach to both binary (outdoor-in...
Le Lu, Kentaro Toyama, Gregory D. Hager
MTA
2008
186views more  MTA 2008»
13 years 5 months ago
Tactile web browsing for blind people
Information on the World Wide Web becomes more and more important for our society. For blind people this is a chance to access more information for their everyday life. In this pap...
Martin Rotard, Christiane Taras, Thomas Ertl