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» Automatic feature selection for anomaly detection
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ICPR
2004
IEEE
15 years 10 months ago
Complex Human Activity Recognition for Monitoring Wide Outdoor Environments
The problem of automatic recognition of human activities is among the most important and challenging open areas of research in Computer Vision. This paper presents a new approach ...
Arcangelo Distante, I. Gnoni, Marco Leo, Paolo Spa...
CORR
2010
Springer
286views Education» more  CORR 2010»
14 years 6 months ago
PhishDef: URL Names Say It All
Phishing is an increasingly sophisticated method to steal personal user information using sites that pretend to be legitimate. In this paper, we take the following steps to identif...
Anh Le, Athina Markopoulou, Michalis Faloutsos
CIVR
2007
Springer
155views Image Analysis» more  CIVR 2007»
15 years 3 months ago
Detection of near-duplicate images for web search
Among the vast numbers of images on the web are many duplicates and near-duplicates, that is, variants derived from the same original image. Such near-duplicates appear in many we...
Jun Jie Foo, Justin Zobel, Ranjan Sinha, Seyed M. ...
HT
2003
ACM
15 years 2 months ago
The connectivity sonar: detecting site functionality by structural patterns
Web sites today serve many different functions, such as corporate sites, search engines, e-stores, and so forth. As sites are created for different purposes, their structure and...
Einat Amitay, David Carmel, Adam Darlow, Ronny Lem...
ICPR
2008
IEEE
15 years 10 months ago
A contrario matching of SIFT-like descriptors
In this paper, the matching of SIFT-like features [5] between images is studied. The goal is to decide which matches between descriptors of two datasets should be selected. This m...
Julie Delon, Julien Rabin, Yann Gousseau