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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Network Marketing - an Emerging Face of Sales Management



With the changing scenario of business around the globe, organizations have quickly and effectively synergized with the dynamics of the modern business. Their orientation, their focus, their processes, and aboveall, their ways of marketing
& sales management- everything has evolved.

Gone are the days when people had to depend upon a handful of sources to get access to branded offerings, products and services. Internet, E Commerce, Direct Selling, Mail Order System¦ and ther ....etc

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DNSSEC : A Protocol towards securing

Abstract: Unlike spam, worms, viruses, and phishing”all of which confront end users directly” infrastructure attacks occur outside their normal frame of reference and control. But attacks on the Domain Name System (DNS), an engine of the Internet infrastructure, appear to be increasing in length and severity, affecting DNS information associated with financial services institutions, Internet service providers, and major corporations in the travel, health, technology, and media/ entertainment ....etc

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PLS give me more details about 'Face Recognition Technology' seminar paper... ....etc

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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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I want IEEE base paper on face recognisation for technical seminar
Ankita ....etc

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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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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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1). Memorizing - this is absolutely the worst way to keep track of material. People are preoccupied with trying to remember the words to say and not the ideas behind the words (or with the audience). As a result, normal voice inflection disappears. With memorizing, mental blocks become inevitable. With memorizing it is not a matter of will you forget; it's a matter of WHEN!

2). Reading from complete text - Listening to someone read a speech or presentation is hated by most people. People say, If that's all they were going to do is read th ....etc

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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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