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CVPR
2010
IEEE
16 years 3 months ago
Unsupervised Learning of Invariant Features Using Video
We present an algorithm that learns invariant features from real data in an entirely unsupervised fashion. The principal benefit of our method is that it can be applied without hu...
David Stavens, Sebastian Thrun
WWW
2010
ACM
16 years 1 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...
GFKL
2007
Springer
152views Data Mining» more  GFKL 2007»
16 years 21 days ago
Supporting Web-based Address Extraction with Unsupervised Tagging
Abstract. The manual acquisition and modeling of tourist information as e.g. addresses of points of interest is time and, therefore, cost intensive. Furthermore, the encoded inform...
Berenike Loos, Chris Biemann
SIGUCCS
2004
ACM
15 years 12 months ago
A platform independent tool for evaluating performance of computing equipment for a computer laboratory
Designing computing equipment for a computer laboratory is not easy. In a class in a computer laboratory, it is not unusual that all students do the same thing simultaneously. Tre...
Takashi Yamanoue
BMCBI
2008
160views more  BMCBI 2008»
15 years 6 months ago
VariVis: a visualisation toolkit for variation databases
Background: With the completion of the Human Genome Project and recent advancements in mutation detection technologies, the volume of data available on genetic variations has rise...
Timothy D. Smith, Richard G. H. Cotton
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