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» Mining from Large Image Sets
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DILS
2008
Springer
15 years 3 months ago
VisGenome and Ensembl: Usability of Integrated Genome Maps
It is not always clear how best to represent integrated data sets, and which application and database features allow a scientist to take best advantage of data coming from various ...
Joanna Jakubowska, Ela Hunt, John McClure, Matthew...
ICB
2009
Springer
183views Biometrics» more  ICB 2009»
15 years 8 months ago
Overview of the Multiple Biometrics Grand Challenge
The goal of the Multiple Biometrics Grand Challenge (MBGC) is to improve the performance of face and iris recognition technology from biometric samples acquired under unconstrained...
P. Jonathon Phillips, Patrick J. Flynn, J. Ross Be...
ECCV
2006
Springer
16 years 3 months ago
Enhancing the Point Feature Tracker by Adaptive Modelling of the Feature Support
We consider the problem of tracking a given set of point features over large sequences of image frames. A classic procedure for monitoring the tracking quality consists in requirin...
Anthony Remazeilles, François Chaumette, Si...
WWW
2010
ACM
15 years 9 months ago
Large-scale bot detection for search engines
In this paper, we propose a semi-supervised learning approach for classifying program (bot) generated web search traffic from that of genuine human users. The work is motivated by...
Hongwen Kang, Kuansan Wang, David Soukal, Fritz Be...
VLDB
1998
ACM
120views Database» more  VLDB 1998»
15 years 6 months ago
PUBLIC: A Decision Tree Classifier that Integrates Building and Pruning
Classification is an important problem in data mining. Given a database of records, each with a class label, a classifier generates a concise and meaningful description for each c...
Rajeev Rastogi, Kyuseok Shim