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USS
2008
15 years 2 months ago
Hypervisor Support for Identifying Covertly Executing Binaries
Hypervisors have been proposed as a security tool to defend against malware that subverts the OS kernel. However, hypervisors must deal with the semantic gap between the low-level...
Lionel Litty, H. Andrés Lagar-Cavilla, Davi...
109
Voted
ML
2007
ACM
144views Machine Learning» more  ML 2007»
15 years 1 days ago
Invariant kernel functions for pattern analysis and machine learning
In many learning problems prior knowledge about pattern variations can be formalized and beneficially incorporated into the analysis system. The corresponding notion of invarianc...
Bernard Haasdonk, Hans Burkhardt
IPPS
2010
IEEE
14 years 10 months ago
A scalable algorithm for maintaining perpetual system connectivity in dynamic distributed systems
We investigate the problem of maintaining a topology with small degree as well as small diameter in a dynamic distributed system such that the system always stays connected and pr...
Tarun Bansal, Neeraj Mittal
BIBM
2009
IEEE
206views Bioinformatics» more  BIBM 2009»
15 years 7 months ago
Application of Kernel Functions for Accurate Similarity Search in Large Chemical Databases
Background: Similaritysearch in chemical structure databases is an important problem with many applications in chemical genomics, drug design, and efficient chemical probe screeni...
Xiaohong Wang, Jun Huan, Aaron M. Smalter, Gerald ...
115
Voted
ICASSP
2011
IEEE
14 years 4 months ago
Online Kernel SVM for real-time fMRI brain state prediction
The Support Vector Machine (SVM) methodology is an effective, supervised, machine learning method that gives stateof-the-art performance for brain state classification from funct...
Yongxin Taylor Xi, Hao Xu, Ray Lee, Peter J. Ramad...