Fundamentals of Image Processing Book of Exercises Part 2 Master 1 Computer Science – IMAge & VCC Sorbonne Universit ́e Year 2020-2021 Fundamentals of Image Processing – Exercises IMAge & VCC Contents 6. Keypoint Detection 7. Image descriptors 8. Segmentation: split and merge 9. Principal component analysis (PCA) 10. Linear Discriminant Analysis (LDA) 1 Appendix: […]
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Computer Science is the science of delegation Key question: How do we delegate tasks to a machine? Hardware engineering: How to design machines able to effectively & efficiently undertake the tasks we delegate to them? Programming theory: How do we best write instructions for machines to do what we what we want them
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Coursework – EMATM0051 Large Scale Data Engineering [Data Science] Version: 12.11.2021 v2.0 Changes: 12.11.2021 v2.0 – Initial version for 2021-22 unit Summary This coursework is divided into two parts: Part 1: A written task (only) related to the knowledge gained in the AWS Academy Cloud Foundations course (weeks 1-7). Part 2: A combined practical and
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COMP9418_Exam_T3_20201 T3-2020 Exam¶ COMP9418 – Advanced Topics in Statistical Machine Learning 7th December, 2020 Before proceeding, please read and acknowledge the following (double-click on this cell and put an X between the brackets [X]): [ ] I acknowledge that I will complete all of the work I submit for this exam without assistance from anyone
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SOFT3202 S1 2021 Exam Pre-Work Specification 16/05/2021 EXAM PRE-WORK OVERVIEW The SOFT3202 Exam will comprise a custom piece of software you will develop during Weeks 11, 12, and 13, which you will further modify in the ‘long release’ window during the exam period with an extra set of instructions. In weeks 11, 12, and 13,
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Security Analytics Use Cases and Data COMP90073 Security Analytics Dr. , CIS Semester 2, 2021 COMP90073 Security Analytics © University of Melbourne 2021 Outline • Security Analytics Use Cases • Security Data • Research Benchmark Datasets Overview COMP90073 Security Analytics © University of Melbourne 2021 Security Analytics Use Cases • Incident Investigation and Forensics •
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Subject Overview & Introduction to Cybersecurity COMP90073 Security Analytics Dr. & Dr. , CIS Semester 2, 2021 COMP90073 Security Analytics © University of Melbourne 2021 General Information Lecturers: • Dr , MC Level 3, Room 3.3321, • Dr , Tutor: • Yujing Mark Jiang, Lectures: • Tuesdays and Thursdays, 14:15–15:15pm, Zoom Tutorials: (per your registration)
Clustering and Density-based Anomaly Detection COMP90073 Security Analytics , CIS Semester 2, 2021 Outline • Anomalydetectionwithclustering • Density-BasedSpatialClustering(DBSCAN) • LocalOutlierFactor(LOF) COMP90073 Security Analytics © University of Melbourne 2021 Using Clustering for Anomaly Detection • Advantages: – Theycandetectanomalieswithoutrequiringanylabelleddata. – Theyworkformanydatatypes. – Clusterscanberegardedassummariesofthedata. – Oncetheclustersareobtained,clustering-basedmethodsneedonly compare any object against the clusters to determine whether the object is
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Network Security & Attacks – Part II COMP90073 Security Analytics Dr. , CIS Semester 2, 2021 COMP90073 Security Analytics © University of Melbourne 2021 Outline • More Network Attacks • Network Security Systems • Case Study – Network Attack Traffic Analysis COMP90073 Security Analytics © University of Melbourne 2021 More Network Attacks • Spoofing Attacks
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