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ICPR
2010
IEEE
13 years 10 months ago
Detecting Faint Compact Sources Using Local Features and a Boosting Approach
Several techniques have been proposed so far in order to perform faint compact source detection in wide field interferometric radio images. However, all these methods can easily mi...
Albert Torrent, Marta Peracaula, Xavier Llado, Jor...
ICCV
2007
IEEE
14 years 9 months ago
Boosting Invariance and Efficiency in Supervised Learning
In this paper we present a novel boosting algorithm for supervised learning that incorporates invariance to data transformations and has high generalization capabilities. While on...
Andrea Vedaldi, Paolo Favaro, Enrico Grisan
TSMC
2008
172views more  TSMC 2008»
13 years 7 months ago
AdaBoost-Based Algorithm for Network Intrusion Detection
Abstract--Network intrusion detection aims at distinguishing the attacks on the Internet from normal use of the Internet. It is an indispensable part of the information security sy...
Weiming Hu, Wei Hu, Stephen J. Maybank
CIVR
2008
Springer
279views Image Analysis» more  CIVR 2008»
13 years 9 months ago
Semi-supervised learning of object categories from paired local features
This paper presents a semi-supervised learning (SSL) approach to find similarities of images using statistics of local matches. SSL algorithms are well known for leveraging a larg...
Wen Wu, Jie Yang
INFOCOM
2003
IEEE
14 years 28 days ago
Exploiting Parallelism to Boost Data-Path Rate in High-Speed IP/MPLS Networking
Abstract—Link bundling is a way to increase routing scalability whenever a pair of Label Switching Routers in MPLS are connected by multiple parallel links. However, link bundlin...
Indra Widjaja, Anwar Elwalid