An Independent Evaluation of Subspace Face Recognition Algorithms Dhiresh R. Surajpal and Tshilidzi Marwala Abstract— This paper explores a comparative study of both the linear and kernel implementations of three of the most popular Appearance-based Face Recognition projection classes‚ these being the methodologies of Principal Component Analysis (PCA)‚ Linear Discriminant Analysis (LDA) and Independent Component Analysis (ICA). The experimental procedure provides a platform of equal working conditions
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Matlab 1.1.7 f(n) = u(n)-n(n-4) n = -5:5; f = (n >= 0); g = (n >= 4); stem (n‚(f-g)) g(n)=r(n)-2r(n-5)+r(n-10) n = -15:15; r = n.*(n >= 0); f = (n-5).*((n-5)>=0); h = (n-10).*((n-10)>=0); g = r - 2.*f + h; stem (n‚g) x(n) = δ(n) - 2δ(n-4) n = -5:5; f = (n == 0); g = ((n-4)==0); x = f - 2.*g stem (n‚x) y(n) = (0.9)^n (u(n)-u(n-20)) n = -20:20; f = (n >= 0); g = ((n-20)>=0); y = 0.9.^n.*(f-g); stem (n‚y) v(n) = cos
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DOI 10.5162/IMCS2012/PT1 Gas Sensors Status and Future Trends for Safety Applications Tesshi Shigemori Chairman of Gas Alarm Industries Association of Japan‚ Regular Associate Director of Japan Safety Appliances Association‚ and President of New Cosmos Electric Co.‚ Ltd. Email: shigemori.tesshi@new-cosmos.co.jp 2-5-4 Mitsuya-naka‚Yodogawa-ku‚Osaka 532-0036‚ JAPAN Abstract: Actually there are many measures to prevent accidents caused by gas leaks and/or gas generations. However‚ only
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he beginning of human life is the heart of the abortion debate. Why we never see pro-choice advocates‚ such like Planned Parenthood or NARAL‚ explaining where they believe life begins? Their most usual tactics is to shift the debate from whether abortion takes a human life to how "comprehensive sex education" and contraception can lower abortion rates. We are not debating the merits of different strategies to lower abortion rates‚ we are debating whether or not abortion takes human life‚ and one
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An Introduction to Neural Networks Vincent Cheung Kevin Cannons Signal & Data Compression Laboratory Electrical & Computer Engineering University of Manitoba Winnipeg‚ Manitoba‚ Canada Advisor: Dr. W. Kinsner May 27‚ 2002 Neural Networks Outline ● Fundamentals ● Classes ● Design and Verification ● Results and Discussion ● Conclusion Cheung/Cannons 1 Classes Fundamentals Neural Networks What Are Artificial Neural Networks? ● An extremely simplified model of
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Introduction to Programming in MATLAB 6.094 Lecture 1: Variables‚ Scripts‚ and Operations Danilo Šćepanović IAP 2010 Course Layout • Lectures 1: 2: 3: 4: 5: Variables‚ Scripts and Operations Visualization and Programming Solving Equations‚ Fitting Images‚ Animations‚ Advanced Methods Optional: Symbolic Math‚ Simulink Course Layout • Problem Sets / Office Hours One per day‚ should take about 3 hours to do Submit doc or pdf (include code‚ figures) No set office hours but available
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Our objective is to design a close-set system that would recognize five designated speakers by using some of the DSP techniques we learned in MATLAB. To do this‚ we have a pre-recorded template that stores each speaker’s distinctive features. We will use this template to do a mix and match with the speakers in our system. Speaker identification refers to the process of identifying an individual by extracting and processing information from his speech. This is a fascinating area of research.
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Young’s model of face recognition (8+16marks) Bruce young’s model of face recognition starts with structural encoding‚ where the face is seen and the features are analysed. The model then splits up into separate compartments one for familiar faces and the other for unfamiliar faces. [AO1] The first of these compartments is the name generation system‚ which consists of eight separate processes. The first stage being the structural encoding where the face perceived is converted in neural impulses for
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>> a=[1 2 -1 1 5/6 4.5] a = 1.0000 2.0000 -1.0000 1.0000 0.8333 4.5000 >> a=[1 2 -1 1 5/6 4.5]; %qyadratic eqn coeffts with >> b=[-1 -14 0 -6 -4 -12.15] b = -1.0000 -14.0000 0 -6.0000 -4.0000 -12.1500 >> c= [-2 24 -1 10 4.8 8.1] c = -2.0000 24.0000 -1.0000 10.0000 4.8000 8.1000 >> n= length(a) n = 6 >> for m=1:n end solution for eqn 1 disc = 9 x1 = 2 x2 = -1
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POWER SYSTEM STABILITY STUDIES USING MATLAB A Project Report Submitted in partial fulfillment of the requirements for the degree of Bachelor of Technology in Electrical Engineering By PRANAMITA BASU ( Roll No. – 10502064 ) AISWARYA HARICHANDAN ( Roll No. – 10502019 ) National Institute of Technology Rourkela Rourkela-769008‚ Orissa POWER SYSTEM STABILITY STUDIES USING MATLAB A Project Report Submitted in partial fulfillment of the requirements for the degree of Technology Bachelor
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