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» Practical Preference Relations for Large Data Sets
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BMCBI
2007
105views more  BMCBI 2007»
15 years 6 months ago
Finding regulatory elements and regulatory motifs: a general probabilistic framework
Over the last two decades a large number of algorithms has been developed for regulatory motif finding. Here we show how many of these algorithms, especially those that model bind...
Erik van Nimwegen
DEXA
2006
Springer
151views Database» more  DEXA 2006»
15 years 8 months ago
An Incremental Refining Spatial Join Algorithm for Estimating Query Results in GIS
Geographic information systems (GIS) must support large georeferenced data sets. Due to the size of these data sets finding exact answers to spatial queries can be very time consum...
Wan D. Bae, Shayma Alkobaisi, Scott T. Leutenegger
AAAI
2000
15 years 7 months ago
Self-Supervised Learning for Visual Tracking and Recognition of Human Hand
Due to the large variation and richness of visual inputs, statistical learning gets more and more concerned in the practice of visual processing such as visual tracking and recogn...
Ying Wu, Thomas S. Huang
PKDD
2005
Springer
94views Data Mining» more  PKDD 2005»
15 years 11 months ago
Evaluating the Correlation Between Objective Rule Interestingness Measures and Real Human Interest
In the last few years, the data mining community has proposed a number of objective rule interestingness measures to select the most interesting rules, out of a large set of discov...
Deborah R. Carvalho, Alex Alves Freitas, Nelson F....
LREC
2010
155views Education» more  LREC 2010»
15 years 7 months ago
The Creagest Project: a Digitized and Annotated Corpus for French Sign Language (LSF) and Natural Gestural Languages
In this paper, we discuss the theoretical, sociolinguistic, methodological and technical objectives and issues of the French Creagest Project (2007-2012) in setting up, documentin...
Antonio Balvet, Cyril Courtin, Dominique Boutet, C...