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» Packet Classification Algorithms: From Theory to Practice
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JCIT
2010
148views more  JCIT 2010»
13 years 4 months ago
Investigating the Performance of Naive- Bayes Classifiers and K- Nearest Neighbor Classifiers
Probability theory is the framework for making decision under uncertainty. In classification, Bayes' rule is used to calculate the probabilities of the classes and it is a bi...
Mohammed J. Islam, Q. M. Jonathan Wu, Majid Ahmadi...
STOC
2003
ACM
154views Algorithms» more  STOC 2003»
14 years 10 months ago
Boosting in the presence of noise
Boosting algorithms are procedures that "boost" low-accuracy weak learning algorithms to achieve arbitrarily high accuracy. Over the past decade boosting has been widely...
Adam Kalai, Rocco A. Servedio
ECCV
2006
Springer
14 years 11 months ago
A Theory of Spherical Harmonic Identities for BRDF/Lighting Transfer and Image Consistency
Abstract. We develop new mathematical results based on the spherical harmonic convolution framework for reflection from a curved surface. We derive novel identities, which are the ...
Dhruv Mahajan, Ravi Ramamoorthi, Brian Curless
CORR
2008
Springer
79views Education» more  CORR 2008»
13 years 10 months ago
A System Theoretic Approach to Bandwidth Estimation
It is shown that bandwidth estimation in packet networks can be viewed in terms of min-plus linear system theory. The available bandwidth of a link or complete path is expressed i...
Jörg Liebeherr, Markus Fidler, Shahrokh Valae...
ICC
2007
IEEE
173views Communications» more  ICC 2007»
14 years 4 months ago
A Dynamic Stateful Multicast Firewall
—Enterprises are faced with the challenge of enabling IP multicast applications without exposing their network to multicast denial-of-service attacks. Current practice is to use ...
Shen Li, Vijay Sivaraman, Alex Krumm-Heller, Craig...