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‎courses/cmpe537-computer-vision/index.html‎

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<!DOCTYPE html><html lang="en"> <head><meta charset="UTF-8"><meta name="viewport" content="width=device-width, initial-scale=1.0"><link rel="icon" type="image/svg+xml" href="/favicon.svg"><meta name="generator" content="Astro v4.16.18"><title>Computer Vision - PILAB Courses</title><meta name="description" content="PILAB is a Computer Vision and Biometrics research lab at Boğaziçi University, Computer Engineering Department."><!-- Open Graph / Facebook --><meta property="og:type" content="website"><meta property="og:url" content="https://boun-tabi.github.io/courses/cmpe537-computer-vision/"><meta property="og:title" content="Computer Vision - PILAB Courses"><meta property="og:description" content="PILAB is a Computer Vision and Biometrics research lab at Boğaziçi University, Computer Engineering Department."><meta property="og:image" content="/og-image.jpg"><!-- Twitter --><meta property="twitter:card" content="summary_large_image"><meta property="twitter:url" content="https://boun-tabi.github.io/courses/cmpe537-computer-vision/"><meta property="twitter:title" content="Computer Vision - PILAB Courses"><meta property="twitter:description" content="PILAB is a Computer Vision and Biometrics research lab at Boğaziçi University, Computer Engineering Department."><meta property="twitter:image" content="/og-image.jpg"><!-- Google Fonts --><link rel="preconnect" href="https://fonts.googleapis.com"><link rel="preconnect" href="https://fonts.gstatic.com" crossorigin><link href="https://fonts.googleapis.com/css2?family=Inter:wght@400;500;600;700&family=Merriweather:wght@400;700&display=swap" rel="stylesheet"><link rel="stylesheet" href="/_astro/contact.BpQaXehP.css"></head> <body class="min-h-screen flex flex-col bg-gray-50"> <header class="bg-white shadow-md"> <div class="container mx-auto px-4 py-4"> <div class="flex flex-col md:flex-row justify-between items-center"> <div class="flex items-center mb-4 md:mb-0"> <a href="/" class="flex items-center"> <img src="/images/pilab.png" alt="PILAB Logo" class="h-10 w-auto mr-3"> <div> <span class="text-2xl font-bold text-primary">PILAB</span> <span class="block text-sm text-gray-600">Perceptual Intelligence Laboratory</span> </div> </a> </div> <nav> <ul class="flex flex-wrap justify-center space-x-1 md:space-x-6"> <li><a href="/" class="px-3 py-2 text-gray-800 hover:text-primary transition-colors">Home</a></li> <li><a href="/people" class="px-3 py-2 text-gray-800 hover:text-primary transition-colors">People</a></li> <li><a href="/papers" class="px-3 py-2 text-gray-800 hover:text-primary transition-colors">Publications</a></li> <li><a href="/projects" class="px-3 py-2 text-gray-800 hover:text-primary transition-colors">Projects</a></li> <!--<li><a href={`${import.meta.env.BASE_URL}theses`} class="px-3 py-2 text-gray-800 hover:text-primary transition-colors">Theses</a></li>--> <li><a href="/courses" class="px-3 py-2 text-gray-800 hover:text-primary transition-colors">Courses</a></li> <li><a href="/news" class="px-3 py-2 text-gray-800 hover:text-primary transition-colors">News</a></li> <li><a href="/contact" class="px-3 py-2 text-gray-800 hover:text-primary transition-colors">Contact</a></li> </ul> </nav> </div> </div> </header> <main class="flex-grow"> <div class="container mx-auto px-4 py-12"> <div class="max-w-4xl mx-auto"> <div class="mb-8"> <a href="/courses" class="text-primary-light hover:underline inline-flex items-center"> <svg xmlns="http://www.w3.org/2000/svg" class="h-5 w-5 mr-1" viewBox="0 0 20 20" fill="currentColor"> <path fill-rule="evenodd" d="M9.707 14.707a1 1 0 01-1.414 0l-4-4a1 1 0 010-1.414l4-4a1 1 0 011.414 1.414L7.414 9H15a1 1 0 110 2H7.414l2.293 2.293a1 1 0 010 1.414z" clip-rule="evenodd"></path> </svg>
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Back to All Courses
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</a> </div> <div class="bg-white rounded-lg shadow-md overflow-hidden"> <div class="p-8"> <div class="flex flex-wrap justify-between items-start mb-6"> <h1 class="text-3xl font-bold text-primary mb-2 flex-grow">Computer Vision</h1> <span class="bg-primary text-white px-3 py-1 rounded-md text-sm"> CMPE 537 </span> </div> <div class="mb-8"> <p class="text-gray-600 mb-1"><span class="font-semibold">Instructor:</span> Prof. Lale Akarun</p> <p class="text-gray-600 mb-1"><span class="font-semibold">Semester:</span> Fall 2025–2026</p> <p class="text-gray-600 mb-1"><span class="font-semibold">Credits:</span> 3</p> </div> <div class="mb-8"> <h2 class="text-xl font-semibold text-primary mb-3">Course Description</h2> <p class="text-gray-700">Graduate computer vision: imaging and cameras, filtering and CNNs, segmentation, features, object and action recognition, motion, tracking, and 3D vision—with implementations and a term project.</p> </div> <div class="prose max-w-none mb-8"> <h2 id="schedule">Schedule</h2>
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<li><strong>Lecture:</strong> Thursday, periods 2–4 (<strong>Th 234</strong>), <strong>BM A5</strong> (confirm on the official registration system if the room changes).</li>
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</ul>
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<h2 id="tentative-topics">Tentative topics</h2>
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</a> </div> <div class="bg-white rounded-lg shadow-md overflow-hidden"> <div class="p-8"> <div class="flex flex-wrap justify-between items-start mb-6"> <h1 class="text-3xl font-bold text-primary mb-2 flex-grow">Computer Vision</h1> <span class="bg-primary text-white px-3 py-1 rounded-md text-sm"> CMPE 537 </span> </div> <div class="mb-8"> <p class="text-gray-600 mb-1"><span class="font-semibold">Instructor:</span> Prof. Lale Akarun</p> <p class="text-gray-600 mb-1"><span class="font-semibold">Credits:</span> 3</p> </div> <div class="mb-8"> <h2 class="text-xl font-semibold text-primary mb-3">Course Description</h2> <p class="text-gray-700">Graduate computer vision: imaging and cameras, filtering and CNNs, segmentation, features, object and action recognition, motion, tracking, and 3D vision—with implementations and a term project.</p> </div> <div class="prose max-w-none mb-8"> <h2 id="tentative-topics">Tentative topics</h2>
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<ol>
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<li>Introduction, applications, course requirements</li>
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<li>Human visual system, color coordinate systems, radiometry</li>
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</ol>
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<h2 id="textbook">Textbook</h2>
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<p>Forsyth, D. A., &#x26; Ponce, J. (2011). <em>Computer Vision: A Modern Approach</em> (2nd ed.). Prentice Hall.</p>
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<h2 id="assessment">Assessment</h2>
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<table><thead><tr><th>Component</th><th>Weight</th></tr></thead><tbody><tr><td>Term project</td><td>30%</td></tr><tr><td>Homework</td><td>30%</td></tr><tr><td>Final exam</td><td>30%</td></tr><tr><td>Quizzes and attendance</td><td>10%</td></tr></tbody></table>
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<h2 id="term-project">Term project</h2>
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<p>There is a term project (including a written component). Students prepare a <strong>survey</strong> related to the project topic and give a <strong>short presentation by the fourth week</strong> of the semester. They then propose an implementation or simulation, carry it through the term, and present in the <strong>last week</strong> of the semester.</p>
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<h2 id="homework">Homework</h2>

‎courses/cmpe544-pattern-recognition/index.html‎

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<!DOCTYPE html><html lang="en"> <head><meta charset="UTF-8"><meta name="viewport" content="width=device-width, initial-scale=1.0"><link rel="icon" type="image/svg+xml" href="/favicon.svg"><meta name="generator" content="Astro v4.16.18"><title>Pattern Recognition - PILAB Courses</title><meta name="description" content="PILAB is a Computer Vision and Biometrics research lab at Boğaziçi University, Computer Engineering Department."><!-- Open Graph / Facebook --><meta property="og:type" content="website"><meta property="og:url" content="https://boun-tabi.github.io/courses/cmpe544-pattern-recognition/"><meta property="og:title" content="Pattern Recognition - PILAB Courses"><meta property="og:description" content="PILAB is a Computer Vision and Biometrics research lab at Boğaziçi University, Computer Engineering Department."><meta property="og:image" content="/og-image.jpg"><!-- Twitter --><meta property="twitter:card" content="summary_large_image"><meta property="twitter:url" content="https://boun-tabi.github.io/courses/cmpe544-pattern-recognition/"><meta property="twitter:title" content="Pattern Recognition - PILAB Courses"><meta property="twitter:description" content="PILAB is a Computer Vision and Biometrics research lab at Boğaziçi University, Computer Engineering Department."><meta property="twitter:image" content="/og-image.jpg"><!-- Google Fonts --><link rel="preconnect" href="https://fonts.googleapis.com"><link rel="preconnect" href="https://fonts.gstatic.com" crossorigin><link href="https://fonts.googleapis.com/css2?family=Inter:wght@400;500;600;700&family=Merriweather:wght@400;700&display=swap" rel="stylesheet"><link rel="stylesheet" href="/_astro/contact.BpQaXehP.css"></head> <body class="min-h-screen flex flex-col bg-gray-50"> <header class="bg-white shadow-md"> <div class="container mx-auto px-4 py-4"> <div class="flex flex-col md:flex-row justify-between items-center"> <div class="flex items-center mb-4 md:mb-0"> <a href="/" class="flex items-center"> <img src="/images/pilab.png" alt="PILAB Logo" class="h-10 w-auto mr-3"> <div> <span class="text-2xl font-bold text-primary">PILAB</span> <span class="block text-sm text-gray-600">Perceptual Intelligence Laboratory</span> </div> </a> </div> <nav> <ul class="flex flex-wrap justify-center space-x-1 md:space-x-6"> <li><a href="/" class="px-3 py-2 text-gray-800 hover:text-primary transition-colors">Home</a></li> <li><a href="/people" class="px-3 py-2 text-gray-800 hover:text-primary transition-colors">People</a></li> <li><a href="/papers" class="px-3 py-2 text-gray-800 hover:text-primary transition-colors">Publications</a></li> <li><a href="/projects" class="px-3 py-2 text-gray-800 hover:text-primary transition-colors">Projects</a></li> <!--<li><a href={`${import.meta.env.BASE_URL}theses`} class="px-3 py-2 text-gray-800 hover:text-primary transition-colors">Theses</a></li>--> <li><a href="/courses" class="px-3 py-2 text-gray-800 hover:text-primary transition-colors">Courses</a></li> <li><a href="/news" class="px-3 py-2 text-gray-800 hover:text-primary transition-colors">News</a></li> <li><a href="/contact" class="px-3 py-2 text-gray-800 hover:text-primary transition-colors">Contact</a></li> </ul> </nav> </div> </div> </header> <main class="flex-grow"> <div class="container mx-auto px-4 py-12"> <div class="max-w-4xl mx-auto"> <div class="mb-8"> <a href="/courses" class="text-primary-light hover:underline inline-flex items-center"> <svg xmlns="http://www.w3.org/2000/svg" class="h-5 w-5 mr-1" viewBox="0 0 20 20" fill="currentColor"> <path fill-rule="evenodd" d="M9.707 14.707a1 1 0 01-1.414 0l-4-4a1 1 0 010-1.414l4-4a1 1 0 011.414 1.414L7.414 9H15a1 1 0 110 2H7.414l2.293 2.293a1 1 0 010 1.414z" clip-rule="evenodd"></path> </svg>
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Back to All Courses
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</a> </div> <div class="bg-white rounded-lg shadow-md overflow-hidden"> <div class="p-8"> <div class="flex flex-wrap justify-between items-start mb-6"> <h1 class="text-3xl font-bold text-primary mb-2 flex-grow">Pattern Recognition</h1> <span class="bg-primary text-white px-3 py-1 rounded-md text-sm"> CMPE 544 </span> </div> <div class="mb-8"> <p class="text-gray-600 mb-1"><span class="font-semibold">Instructor:</span> Assoc. Prof. İnci Baytaş</p> </div> <div class="mb-8"> <h2 class="text-xl font-semibold text-primary mb-3">Course Description</h2> <p class="text-gray-700">This course will introduce the fundamentals of statistical pattern recognition with examples from several application areas. Topics include Bayesian decision theory, maximum likelihood and Bayesian parameter estimation, non-parametric techniques, linear discriminant functions, tree methods, multilayer neural networks, bias and variance in regression and classification, resampling for estimating statistics, bagging, boosting, unsupervised learning and clustering.</p> </div> <div class="prose max-w-none mb-8"> <h2 id="topics-official-summarized">Topics (official, summarized)</h2>
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<ul>
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<li>Bayesian decision theory</li>
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<li>Parametric and non-parametric techniques</li>
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<li>Linear discriminant functions</li>
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<li>Tree methods</li>
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<li>Clustering and dimensionality reduction</li>
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<li>Neural networks (incl. intro to deep learning)</li>
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</ul> </div> <div class="flex flex-wrap gap-4 mt-8"> <a href="https://registration.bogazici.edu.tr/scripts/instructor/coursedescriptions/2025-2026-2/CMPE54401.PDF" target="_blank" rel="noopener noreferrer" class="inline-flex items-center bg-primary text-white px-4 py-2 rounded-md hover:bg-primary-dark transition-colors"> <svg xmlns="http://www.w3.org/2000/svg" class="h-5 w-5 mr-2" viewBox="0 0 20 20" fill="currentColor"> <path fill-rule="evenodd" d="M6 2a2 2 0 00-2 2v12a2 2 0 002 2h8a2 2 0 002-2V7.414A2 2 0 0015.414 6L12 2.586A2 2 0 0010.586 2H6zm5 6a1 1 0 10-2 0v3.586l-1.293-1.293a1 1 0 10-1.414 1.414l3 3a1 1 0 001.414 0l3-3a1 1 0 00-1.414-1.414L11 11.586V8z" clip-rule="evenodd"></path> </svg>
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Download Syllabus
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</a> </div> </div> </div> </div> </div> </main> <footer class="bg-primary text-white py-8 mt-12"> <div class="container mx-auto px-4"> <div class="grid grid-cols-1 md:grid-cols-3 gap-8"> <div> <h3 class="text-xl font-bold mb-4">PILAB</h3> <p class="mb-2">Perceptual Intelligence Laboratory</p> <p class="mb-2">Boğaziçi University</p> <p>Computer Engineering Department</p> </div> <div> <h3 class="text-xl font-bold mb-4">Contact</h3> <p class="mb-2"> <span class="block">Boğaziçi University</span> <span class="block">Computer Engineering Department</span> <span class="block">34342 Bebek, Istanbul, Turkey</span> </p> </div> <div> <h3 class="text-xl font-bold mb-4">Links</h3> <ul class="space-y-2"> <li><a href="https://www.cmpe.boun.edu.tr/" class="hover:underline" target="_blank" rel="noopener noreferrer">BOUN CMPE</a></li> <li><a href="https://www.boun.edu.tr/en-US" class="hover:underline" target="_blank" rel="noopener noreferrer">Boğaziçi University</a></li> <li><a href="https://github.com/bounpilab" class="hover:underline" target="_blank" rel="noopener noreferrer">GitHub</a></li> </ul> </div> </div> <div class="border-t border-white/20 mt-8 pt-6 text-center"> <p>&copy; 2026 PILAB. All rights reserved.</p> </div> </div> </footer> </body></html>

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