Lab Four Lab Four Tracing Rays and Finding Intersections CSE 287 Description: This is the first of up to three labs on ray tracing. In this lab, you will write code to generate rays for each individual pixel. You will then implement code to find intersections between those rays and objects in a scene. In […]
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ECS130 Homework Assignment 5 Due: 4:00pm, February 27, 2019 1. Let A be nonsingular, and let σ1 ≥ σ2 ≥ ··· ≥ σn > 0 be its singular values. (a) Find the SVD of A−1 in terms of the SVD of A. What are the singular values and singular vectors of A−1? (b) Deduce that
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Adaptive Signal Processing and Machine Intelligence Coursework Prof. Danilo P. Mandic TAs: Giuseppe Calvi, Ilia Kisil, Harry Davies, Shengxi Li, Takashi Nakamura February 5, 2019 1 Contents Guidelines 3 1 Classical and Modern Spectrum Estimation 4 1.1 PropertiesofPowerSpectralDensity(PSD) …………………………… 4 1.2 Periodogram-basedMethodsAppliedtoReal–WorldData ……………………. 5 1.3 CorrelationEstimation …………………………………….. 5 1.4 SpectrumofAutoregressiveProcesses ……………………………… 7 1.5 RealWorldSignals:RespiratorySinusArrhythmiafromRR-Intervals .
Introduction Big Data (H/SIT) 2018-19 1st Assessed Exercise: HDFS/MapReduce The goal of this exercise is to familiarize yourselves with the design, implementation and performance testing of Big Data crunching tasks using Hadoop/MapReduce. You will be required to design and implement algorithms for parsing, filtering, projecting, and transforming data, over a relatively large dataset, executing your
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Project #4 – Build a ground plane and surface of rotation with normals. Goals: Create a parametric surface (namely, a portion of a surface of rotation) using triangle strips. Create a rectangular mesh for the ground plane using triangle strips. Dynamically change the resolution of the surface of rotation and the ground plane. Correctly calculate normal
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Algebra is nothing more than geometry, in words; geometry is Learning Objectives: • Describe the biological motivation behind the perceptron. • Classify learning algorithms based on whether they are error-driven or not. • Implement the perceptron algorithm for binary classification. • Draw perceptron weight vectors and the corresponding decision boundaries in two dimensions. • Contrast
Problem Description: DS 4300: Large-Scale Storage and Retrieval Learning Scala This assignment is designed to give you some experience in Scala programming as well as having you think about the implementation of various kinds of NoSQL databases. Part A. Scala Warm-up 1. (10 pts) In class I showed how the following snippet of code can
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Design and Developing Application in Cloud (CT071-3-5-3-DDAC) Azure Table Storage and Visual Studio Connected Services Lab 8: Get started with Azure Table storage and Visual Studio connected services (ASP.NET Core) Azure Table storage enables you to store large amounts of structured data. The service is a NoSQL datastore that accepts authenticated calls from inside and
DDAC Individual Assignment Page 1 of 9 CT071-3-5-3-DDAC – DESIGNING & DEVELOPING CLOUD APPLICATIONS INDIVIDUAL ASSIGNMENT Lecturer(s) Date Assigned Date Due : Chong Mien May / Au Yit Wah : Week 4 : Week 16 LEARNING OUTCOMES At the end of this assignment, you should be able to: 1. Demonstrate the understanding of cloud computing
FreeMat/Octave/MatLab and Vectors 1 *Slightly revised version of “Matlab and Vectors” by David Arnold, College of the Redwoods, August 16, 1998. In this exercise you will learn how to enter and edit vectors in FreeMat (http://freemat.sourceforge.net/) or Octave (https://www.gnu.org/software/octave/) — these are free, cross-platform, Matlab (https://www.mathworks.com/products/matlab.html) – like program for doing mathematics. Operations involving vectors