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Title: Face Recognition using the Techniques Base on Principal Component Analysis PCA
Page Link: Face Recognition using the Techniques Base on Principal Component Analysis PCA -
Posted By: computer science crazy
Created at: Tuesday 24th of February 2009 02:51:20 AM
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During several past few years, Face Recognition has become more significant. Although, other identification methods such as Fingerprints or Iris recognition are currently in use, face recognition has its own application. Principal Component Analysis (PCA) has been variously used in pattern recognition applications, especially in face recognition field. In this seminars, several techniques based on standard PCA, Fisher Linear Discriminant (FLD), Face Specific Subspace (FSS) will be discussed. We will review the developed idea used in the 2D-PCA ....etc

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Title: android college notice board android synopsis
Page Link: android college notice board android synopsis -
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Created at: Monday 26th of September 2016 06:14:58 PM
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Title: face detection in android ppt
Page Link: face detection in android ppt -
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Created at: Sunday 01st of September 2013 02:32:49 PM
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Title: face recognition source code in android
Page Link: face recognition source code in android -
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Created at: Wednesday 23rd of January 2013 07:45:42 PM
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Title: source code for face recognition using genetic algorithm pdf
Page Link: source code for face recognition using genetic algorithm pdf -
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Created at: Sunday 25th of November 2012 07:49:53 AM
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Title: Face Recognition using the Techniques Base on Principal Component Analysis PCA
Page Link: Face Recognition using the Techniques Base on Principal Component Analysis PCA -
Posted By: Computer Science Clay
Created at: Sunday 01st of March 2009 01:15:52 PM
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Face Recognition using the Techniques Base on Principal Component Analysis (PCA)

several past few years, Face Recognition has become more significant. Although, other identification methods such as Fingerprints or Iris recognition are currently in use, face recognition has its own application.

Principal Component Analysis (PCA) has been variously used in pattern recognition applications, especially in face recognition field. In this seminars, several techniques based on standard PCA, Fisher Linear ....etc

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Title: Face recognition using laplaction face at java
Page Link: Face recognition using laplaction face at java -
Posted By: project topics
Created at: Monday 02nd of May 2011 01:33:03 PM
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Face recognition using laplaction face at java

The face recognition is a fairly controversial subject right now. A system such as this can recognize and track dangerous criminals and terrorists in a crowd, but some contend that it is an extreme invasion of privacy. The proponents of large-scale face recognition feel that it is a necessary evil to make our country safer. It could benefit the visually impaired and allow them to interact more easily with the environment. Also, a computer vision-based authentication system could be pu ....etc

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Title: projet face recognition android ppt
Page Link: projet face recognition android ppt -
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Created at: Thursday 22nd of November 2012 04:47:05 AM
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Title: Rules of Designing Routing Metrics for Greedy Face and Combined Greedy-Face Routing
Page Link: Rules of Designing Routing Metrics for Greedy Face and Combined Greedy-Face Routing -
Posted By: project report helper
Created at: Friday 29th of October 2010 07:00:50 PM
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Rules of Designing Routing Metrics for Greedy,
Face, and Combined Greedy-Face Routing


Yujun Li, Yaling Yang, and Xianliang Lu




Abstract—


Different geographic routing protocols have different requirements on routing metric designs to ensure proper operation.
Combining a wrong type of routing metrics with a geographic routing protocol may produce unexpected results, such as geographic
routing loops and unreachable nodes. In this paper, we propose a novel routing algebra system to investigate t ....etc

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Title: FACE RECOGNITION USING Neural Network
Page Link: FACE RECOGNITION USING Neural Network -
Posted By: computer science crazy
Created at: Sunday 22nd of February 2009 01:11:21 AM
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Faces represent complex, multidimensional, meaningful visual stimuli
and developing a computational model for face recognition is difficult
. We present a hybrid neural network solution which compares
favorably with other methods. The system combines local image sampling,
a self-organizing map neural network, and a convolutional neural
network. The self-organizing map provides a quantization of the image
samples into a topological space where inputs that are nearby in the
original space are also nearby in the output space, thereby pr ....etc

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