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SCIT, University of Wollongong CSCI435/CSCI935 Computer Vision: Algorithms and Systems Spring 2020 Assignment Three (25%) Due Date: 5:00pm Sunday 8 November 2020 Objectives  Design a C/C++ or Python program that extracts and counts moving objects, e.g. people, cars and others using background modelling and segmentation of optical flow. Introduction Extraction of moving objects from […]

SCIT, University of Wollongong CSCI435/CSCI935 Computer Vision: Algorithms and Systems Spring 2020 Assignment Three (25%) Due Date: 5:00pm Sunday 8 November 2020 Objectives  Design a C/C++ or Python program that extracts and counts moving objects, e.g. people, cars and others using background modelling and segmentation of optical flow. Introduction Extraction of moving objects from

SCIT, University of Wollongong CSCI435/CSCI935 Computer Vision: Algorithms and Systems Spring 2020 Assignment Three (25%) Due Date: 5:00pm Sunday 8 November 2020 Objectives  Design a C/C++ or Python program that extracts and counts moving objects, e.g. people, cars and others using background modelling and segmentation of optical flow. Introduction Extraction of moving objects from

The University of Adelaide, School of Computer Science Introduction to Statistical Machine Learning Semester 2, 2020 Assignment 3: Implementation of PCA and k-means algorithms Submission Instructions and submission guidelines: • You must sign an assessment declaration coversheet to submit with your assignment. • Submit your assignment via the Canvas MyUni. PCA and k-means You are

PCA and k-means You are required to write code for performing PCA on a given dataset. After performing PCA, you are required to (1) use various classifiers to perform classification and (2) implement k- means clustering to group data. Data You will use a subsampled version of the MNIST dataset to test your model. It