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» Minimal Kernel Classifiers
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TIFS
2008
154views more  TIFS 2008»
14 years 9 months ago
Data Fusion and Cost Minimization for Intrusion Detection
Abstract--Statistical pattern recognition techniques have recently been shown to provide a finer balance between misdetections and false alarms than the more conventional intrusion...
Devi Parikh, Tsuhan Chen
FAST
2009
14 years 7 months ago
Enabling Transactional File Access via Lightweight Kernel Extensions
Transactions offer a powerful data-access method used in many databases today trough a specialized query API. User applications, however, use a different fileaccess API (POSIX) wh...
Richard P. Spillane, Sachin Gaikwad, Manjunath Chi...
COMPGEOM
2011
ACM
14 years 1 months ago
Comparing distributions and shapes using the kernel distance
Starting with a similarity function between objects, it is possible to define a distance metric (the kernel distance) on pairs of objects, and more generally on probability distr...
Sarang C. Joshi, Raj Varma Kommaraju, Jeff M. Phil...
CVPR
2007
IEEE
15 years 12 months ago
Sparse Kernels for Bayes Optimal Discriminant Analysis
Discriminant Analysis (DA) methods have demonstrated their utility in countless applications in computer vision and other areas of research ? especially in the C class classificat...
Aleix M. Martínez, Onur C. Hamsici
ICASSP
2011
IEEE
14 years 1 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...