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[
PDF]
BV01.rar
... is important for applications such as
firewalls, intrusion detection, and differentiated services. Existing
algorithms for packet classification reported in the literature
scale poorly in either time or space as filter databases
grow in size. ...
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hzbcadmin Size:
189K
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[
PDF]
HOTI_99.rar
... with
minimal storage requirements and allow new flows to be frequently
added and deleted. In the worst case, packet classification
is hard requiring routers to use heuristics that exploit
structure present in the classifiers. This paper presents such ...
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wangyni816 Size:
49K
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[
PDF]
Lecture13.rar
CS 268: Route Lookup and
Packet Classification
E2E principle
- Describe the end-to-end principle. Give one example in which
implementing a particular functionality at a lower layer breaks
this principle, and one example in which it does ...
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xgjh09 Size:
185K
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[
PDF]
p213-singh.rar
This paper introduces a classification algorithm called HyperCuts.
Like the previously best known algorithm, HiCuts,
HyperCuts is ... can provide an order ofma gnitude improvement over
existing classification algorithms. HyperCuts uses 2 to 10
times less ...
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nietao2008 Size:
211K
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[
Windows_Unix]
facial-expression-recognition-using.ps.gz
... pseudo 3-D Hidden Markov Models
(P3DHMMs) are applied to the task of dynamic facial expression
recognition. P3DHMMs are an extension of the
pseudo 2-D case, which has been successfully used for the
classification of images and the recognition of faces
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[
Matlab]
IDE.rar
... the ensemble of decision tree classifiers proposed in: "L. Nanni and A. Lumini, Input Decimated Ensemble based on Neighborhood Preserving Embedding for spectrogram classification, Expert Systems With Applications doi:10.1016/j.eswa.2009.02.072 "