EEE116 Experimental, Computer Skills and Sustainability: MATLAB Group Assignment Due on Monday, 13th May, 2019, 18:00 1 / 16 Assignment Regulations ⚫ This is a group assignment. Each group MUST submit one soft copy of the group report via the ICE before the due date. ⚫ A coversheet can be created in your own way, […]
COMP3308 – Introduction to Artificial Intelligence Semester 1, 2018 Assignment 2: Classification Deadlines Submission: 5pm, Friday 18th May, 2018 (week 10) This assignment is worth 20% of your final mark. Task description In this assignment you will implement the K‐Nearest Neighbour and Naïve Bayes algorithms and evaluate them on a real dataset using the stratified
COMP3308 – Introduction to Artificial Intelligence Semester 1, 2019 Assignment 2: Classification Deadlines Submission: 11:59pm, Friday 10th May, 2019 (week 10) Late submissions policy Late submissions are allowed for up to 3 days late. A penalty of 5% per day late will apply. Assignments more than 3 days late will not be accepted (i.e. will
ECE3093 Assignment 2: Melbourne 2050 April 2019 Name: ________________________ Student ID: _________________ Electronic submission of this assignment is due on Moodle by 9am on Monday 6 May 2019. You are required to submit this file as pdf, and the source code (Matlab script). Note: you may insert scans or photos of your handwritten notes for
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Description: Point-cloud is an important representation for objects, scenes, medical data and much more. Images are dense representations, since all coordinates in an image is associated with defined value(s), such as gray-scale levels. Unlike an image, point-cloud is a sparse representation, which means that not all the coordinates are defined with a value. It shows
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ECE3093 Assignment 2: Melbourne 2050 50 Marks worth 10% of the final ECE3093 grade. April 2019 Electronic submission of this assignment is due on Moodle by 9am on Monday 6 May 2019. You are required to submit a single-file report in pdf format based on the template provided, and the source code (Matlab script). The
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CS105 Fundamentals of Artificial Intelligence Group-project for Tangram Piece Matching and Recognition Tangram is one of the most popular games to play with. You put figures of 7 pieces together (five triangles, one square and one parallelogram). You must use all pieces. They must touch but not overlap. There are 32 half squares or 16
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I. Short answer problems [24 points] 1. Give an example of how one can exploit the associative property of convolution to more efficiently filter an image. 2. This is the input image: [1 0 1 1 0 0 0 1]. What is the result of dilation with a structuring element [1 1 1]? 3. Describe
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PARTIAL DIFFERENTIAL EQUATIONS, SPRING 2019 MATH 363-001 HOMEWORK 7: NUMERICAL METHODS FOR PDES COURANT INSTITUTE, NYU DUE: FRIDAY MAY 10, 11:00 AM, IN RECITATION CLASS You must submit a short writeup (in PDF format) documenting what you did, that is, an explanation of what the code does and answers to the questions posted below. Make
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ECE 213 Spring 2019 Continuous-Time Signals & Systems Computing Exercises Exercise SS-C2: Using Laplace to find the impulse response [20pts] Consider the RLC circuit shown to the right. The “input” voltage is x(t), and the “output” voltage is y(t). We will use the Laplace transform to find the impulse response for different values of R,
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