COMP90038 Algorithms and Complexity Greedy Algorithms: Prim and Dijkstra Olya Ohrimenko (Slides from Harald Søndergaard) Lecture 20 Semester 2, 2021 Algorithms and Complexity (Sem 2, 2021) Prim and Dijkstra © University of Melbourne 1 / 22 Announcements Assignment 2 is out on LMS. Olya’s consultation session (Zoom link via LMS): Tuesday October 12, 2:30 – […]
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COMP90038 Algorithms and Complexity Lecture 8: Graph Traversal (with thanks to Harald Søndergaard) DMD 8.17 (Level 8, Doug McDonell Bldg) http://people.eng.unimelb.edu.au/tobym @tobycmurray Breadth-First and Depth-First Traversal Used to systematically explore all nodes of a graph a • bc de g h 2 Copyright University of Melbourne 2016, provided under Creative Commons Attribution License f Depth-First
L1 APS1070 Fall 2021¶ Lecture 1¶ K Nearest Neighbours for Iris dataset Example 1a: KNN in sci-kit learn¶ In [1]: import numpy as np import matplotlib.pyplot as plt from sklearn import neighbors, datasets # Loading some example data iris = datasets.load_iris() In [2]: # Selecting features and the target X = iris.data[:, [2, 3]] y = iris.target
Turing Machines: Limits of Decidability COMP1600 / COMP6260 Australian National University Semester 2, 2020 Interlude: What can Haskell programs do? Observation. Turing machines ’recognise’ strings. Haskell functions of type String -> Bool also recognise strings. For a Haskell program p :: String -> Bool we can define L(p) = {w :: String | pw =
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VIDEO COMPRESSION VIDEO COMPRESSION Dr. – CS576 Lecture 6 Page 1 TOPICS TO BE COVERED TOPICS TO BE COVERED Introduction • Video Characteristics and Types • Applications Why is Video Compression different from Image Compression? Modalities of Video Coding – Intraframe and Interframe Motion Vectors and Motion Compensation Techniques Standards and Implementation • H.261 (ITU)
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IMAGES – COMPRESSION IMAGES – COMPRESSION AND DITHERING AND DITHERING Dr. – CS576 Lecture 5 Page 1 TOPICS TO BE COVERED Introduction • Image Types • Image Representation • Applications where images are used Need for Compression and Standards Overview of Image Compression Algorithms and Formats JPEG • Needs and Requirements • Compression Algorithms for
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King’s College London This paper is part of an examination of the College counting towards the award of a degree. Examinations are governed by the College Regulations under the Degree Programmes Module Code Module Title Examination Period authority of the Academic Board. MSc, MSci 7CCSMCVI Computer Vision January 2018 (Period 1) Time Allowed Rubric Three
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End-of-year Examinations, 2017 STAT318-17S2 (C) / STAT462-17S2 (C) Family Name First Name Student Number Venue Seat Number _____________________ _____________________ |__|__|__|__|__|__|__|__| ____________________ ________ No electronic/communication devices are permitted. No exam materials may be removed from the exam room. Mathematics and Statistics EXAMINATION End-of-year Examinations, 2017 STAT318-17S2 (C) Data Mining STAT462-17S2 (C) Data Mining Examination Duration: 120
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The Australian National University Semester 2, 2020 Research School of Computer Science Tutorial 11 and Foundations of Computation The tutorial contains a number of exercises designed for the students to practice the course content. During the lab, the tutor will work through some of these exercises while the students will be responsible for completing the
The Australian National University Semester 2, 2020 Research School of Computer Science Tutorial 1 and Foundations of Computation The tutorial contains a number of exercises designed for the students to practice the course content. During the lab, the tutor will work through some of these exercises while the students will be responsible for completing the