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ACIVS
2009
Springer
15 years 11 months ago
Image Categorization Using ESFS: A New Embedded Feature Selection Method Based on SFS
Abstract. Feature subset selection is an important subject when training classifiers in Machine Learning (ML) problems. Too many input features in a ML problem may lead to the so-...
Huanzhang Fu, Zhongzhe Xiao, Emmanuel Dellandr&eac...
FGCN
2008
IEEE
175views Communications» more  FGCN 2008»
15 years 11 months ago
Safeguard Intranet Using Embedded and Distributed Firewall System
Due to the impact of the rapid popularization of Internet and e-commerce, most organizations and enterprises take great effort to protect their information systems against malicio...
Chu-Hsing Lin, Jung-Chun Liu, Chien-Ting Kuo, Mei-...
SECURWARE
2007
IEEE
15 years 11 months ago
A low-cost embedded IDS to monitor and prevent Man-in-the-Middle attacks on wired LAN environments
A Man-in-the-Middle (MitM) attack is, in the scope of a LAN, a technique where an attacker is able to redirect all traffic between two hosts of that same LAN for packet sniffing...
Jorge Belenguer, Carlos Miguel Tavares Calafate
ECAL
2007
Springer
15 years 11 months ago
Spatial Embedding and Complexity: The Small-World Is Not Enough
The “order for free” exhibited by some classes of system has been exploited by natural selection in order to build systems capable of exhibiting complex behaviour. Here we expl...
Christopher L. Buckley, Seth Bullock
151
Voted
MM
2005
ACM
209views Multimedia» more  MM 2005»
15 years 10 months ago
Learning an image-word embedding for image auto-annotation on the nonlinear latent space
Latent Semantic Analysis (LSA) has shown encouraging performance for the problem of unsupervised image automatic annotation. LSA conducts annotation by keywords propagation on a l...
Wei Liu, Xiaoou Tang