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» Packet Classification Algorithms: From Theory to Practice
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JCIT
2010
148views more  JCIT 2010»
14 years 9 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»
16 years 3 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
16 years 4 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»
15 years 3 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»
15 years 9 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...