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ICCV
2003
IEEE
14 years 12 months ago
Machine Learning and Multiscale Methods in the Identification of Bivalve Larvae
This paper describes a novel application of support vector machines and multiscale texture and color invariants to a problem in biological oceanography: the identification of 6 sp...
Sanjay Tiwari, Scott Gallager
SRDS
2010
IEEE
13 years 8 months ago
DKSM: Subverting Virtual Machine Introspection for Fun and Profit
Virtual machine (VM) introspection is a powerful technique for determining the specific aspects of guest VM execution from outside the VM. Unfortunately, existing introspection so...
Sina Bahram, Xuxian Jiang, Zhi Wang, Mike Grace, J...
FMCO
2003
Springer
144views Formal Methods» more  FMCO 2003»
14 years 3 months ago
Semantic Essence of AsmL
ract State Machine Language, AsmL, is a novel executable specification based on the theory of Abstract State Machines. AsmL is object-oriented, provides high-level mathematical d...
Yuri Gurevich, Benjamin Rossman, Wolfram Schulte
AAAI
2008
14 years 11 days ago
In-the-Dark Network Traffic Classification Using Support Vector Machines
This work addresses the problem of in-the-dark traffic classification for TCP sessions, an important problem in network management. An innovative use of support vector machines (S...
William H. Turkett Jr., Andrew V. Karode, Errin W....
NIPS
2003
13 years 11 months ago
Sparseness of Support Vector Machines---Some Asymptotically Sharp Bounds
The decision functions constructed by support vector machines (SVM’s) usually depend only on a subset of the training set—the so-called support vectors. We derive asymptotical...
Ingo Steinwart