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» Object detection with vector quantized binary features
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WWW
2008
ACM
15 years 10 months ago
Detecting image spam using visual features and near duplicate detection
Email spam is a much studied topic, but even though current email spam detecting software has been gaining a competitive edge against text based email spam, new advances in spam g...
Bhaskar Mehta, Saurabh Nangia, Manish Gupta 0002, ...
ICDAR
2003
IEEE
15 years 2 months ago
Writer Identification using Innovative Binarised Features of Handwritten Numerals
The objective of this paper is to present a number of features that can be extracted from handwritten digits and used for author verification or identification of a person’s han...
Graham Leedham, Sumit Chachra
ICPR
2010
IEEE
14 years 7 months ago
Automatic Facial Action Detection Using Histogram Variation Between Emotional States
This article presents an appearance based method to detect automatically facial actions. Our approach focuses on reducing features sensitivity to identity of the subject. We compu...
Thibaud Senechal, Kevin Bailly, Lionel Prevost
AUSAI
2009
Springer
15 years 4 months ago
Modelling Object Typicality in Description Logics
Abstract. We present a semantic model of typicality of concept members in description logics that accords well with a binary, globalist cognitive model of class membership and typi...
Katarina Britz, Johannes Heidema, Thomas Andreas M...
SIGMOD
2004
ACM
154views Database» more  SIGMOD 2004»
15 years 9 months ago
Computing Clusters of Correlation Connected Objects
The detection of correlations between different features in a set of feature vectors is a very important data mining task because correlation indicates a dependency between the fe...
Christian Böhm, Karin Kailing, Peer Krög...