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Title: detecting kernel level rootkits using data structure invariants thesis
Page Link: detecting kernel level rootkits using data structure invariants thesis -
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Created at: Thursday 04th of October 2012 04:49:45 PM
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Title: detecting kernel level rootkits using data structure invariants ppts
Page Link: detecting kernel level rootkits using data structure invariants ppts -
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Created at: Saturday 20th of October 2012 07:18:11 PM
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Title: detecting kernel level rootkits using data structure invariants
Page Link: detecting kernel level rootkits using data structure invariants -
Posted By: [email protected]
Created at: Wednesday 14th of December 2011 02:20:27 PM
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Title: Enhancing Security of linux kernel
Page Link: Enhancing Security of linux kernel -
Posted By: nit_cal
Created at: Thursday 29th of October 2009 04:37:33 PM
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Title: Face Recognition using multisensor images based on localised kernel eigen spaces
Page Link: Face Recognition using multisensor images based on localised kernel eigen spaces -
Posted By: premakumar.e
Created at: Wednesday 02nd of February 2011 01:05:07 PM
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Title: ppt for detecting kernel level rootkits using data structures invariants
Page Link: ppt for detecting kernel level rootkits using data structures invariants -
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Created at: Thursday 04th of October 2012 05:09:19 PM
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Title: ppt for detecting kernel level rootkits using data structures invariants
Page Link: ppt for detecting kernel level rootkits using data structures invariants -
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Created at: Saturday 26th of January 2013 01:08:30 AM
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Title: Facial recognition using multisensor images based on localized kernel eigen spaces
Page Link: Facial recognition using multisensor images based on localized kernel eigen spaces -
Posted By: seminar topics
Created at: Tuesday 16th of March 2010 10:00:24 AM
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Facial recognition using multisensor images based on localized kernel eigen spaces.

A feature selection technique along with an information fusion procedure for improving the recognition accuracy of a visual and thermal image-based facial recognition system is presented in this paper. A novel modular kernel eigenspaces approach is developed and implemented on the phase congruency feature maps extracted from the visual and thermal images individually. Smaller sub-regions from a predefined neighborhood within the phase congruency images of the ....etc

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