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» New Variants of a Method of MRI Scale Normalization
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JMM2
2007
218views more  JMM2 2007»
13 years 5 months ago
A Novel Method for 3D Face Detection and Normalization
—When automatically analyzing images of human faces, either for recognition in biometry applications or facial expression analysis in human machine interaction, one has to cope w...
Robert Niese, Ayoub Al-Hamadi, Bernd Michaelis
CORR
2011
Springer
184views Education» more  CORR 2011»
13 years 7 days ago
Metamorphic Virus Variants Classification Using Opcode Frequency Histogram
Abstract- In order to prevent detection and evade signature-based scanning methods, which are normally exploited by antivirus softwares, metamorphic viruses use several various obf...
Babak Bashari Rad, Maslin Masrom
ICASSP
2011
IEEE
12 years 9 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...
IPMI
2001
Springer
14 years 6 months ago
Estimation of Baseline Drifts in fMRI
This work provides a new method to estimate and remove baseline drifts in the fMRI signal. The baseline drift in each time series is described as a superposition of physical and ph...
François G. Meyer, Gregory McCarthy
MICCAI
2004
Springer
14 years 6 months ago
Solving Incrementally the Fitting and Detection Problems in fMRI Time Series
We tackle the problem of real-time statistical analysis of functional magnetic resonance imaging (fMRI) data. In a recent paper, we proposed an incremental algorithm based on the e...
Alexis Roche, Philippe Pinel, Stanislas Dehaene, J...