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» Max-Margin Additive Classifiers for Detection
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ICPR
2008
IEEE
14 years 8 months ago
A machine learning based scheme for double JPEG compression detection
Double JPEG compression detection is of significance in digital forensics. We propose an effective machine learning based scheme to distinguish between double and single JPEG comp...
Chunhua Chen, Wei Su, Yun Q. Shi
CEAS
2008
Springer
13 years 9 months ago
Detecting Known and New Salting Tricks in Unwanted Emails
Spam and phishing emails are not only annoying to users, but are a real threat to internet communication and web economy. The fight against unwanted emails has become a cat-and-mo...
André Bergholz, Gerhard Paass, Frank Reicha...
RE
2006
Springer
13 years 7 months ago
The Detection and Classification of Non-Functional Requirements with Application to Early Aspects
This paper introduces an information retrieval based approach for automating the detection and classification of non-functional requirements (NFRs). Early detection of NFRs is use...
Jane Cleland-Huang, Raffaella Settimi, Xuchang Zou...
ICCV
2009
IEEE
2030views Computer Vision» more  ICCV 2009»
15 years 10 days ago
Robust Tracking-by-Detection using a Detector Confidence Particle Filter
We propose a novel approach for multi-person trackingby- detection in a particle filtering framework. In addition to final high-confidence detections, our algorithm uses the con...
Michael D. Breitenstein, Fabian Reichlin, Bastian ...
WSDM
2010
ACM
215views Data Mining» more  WSDM 2010»
14 years 4 months ago
Boilerplate Detection using Shallow Text Features
In addition to the actual content Web pages consist of navigational elements, templates, and advertisements. This boilerplate text typically is not related to the main content, ma...
Christian Kohlschütter, Peter Fankhauser, Wol...