18-793 – Image and Video Processing Due date: Tuesday, 12/11/17 at 11pm EST == 8pm PST. Fall 2018 Finals Notes on Problem Set. There are SIX problems. Please answer any FOUR. All problems have the same number of points. If you answer more than four, then we will simply use the top four scoring problems. […]
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18-793 – Image and Video Processing Due date: Tuesday, 12/12/17 at 6pm EST == 3pm PST. Fall 2017 Finals Notes on Problem Set. There are SIX problems. Please answer any FOUR. All problems have the same number of points. If you answer more than four, then we will simply use the top four scoring problems.
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Concurrent Programming CS511 1/49 About Erlang Functional language Concurrent/Distributed No shared memory (message passing) No types at compile time Dynamically typed Open source Developed in the 80s in Ericsson by Joe Armstrong, Robert Virding and Mike Williams 2/49 Runtime System Compiled code runs on a virtual machine
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STAT 443: Forecasting Paul Marriott 7 September 2020 ii Contents 1 Introduction to forecasting, control and time series 3 1.1 Introduction………………………. 3 1.2 Examples ……………………….. 3 1.2.1 Observeddataexamples…………….. 3 1.2.2 SimpleMathematicalmodels ………….. 9 1.2.3 AdvancedMathematicalmodels. . . . . . . . . . . . . 10 1.3 Forecasting, prediction and control problems .
18-793 Image and Video Processing Submission instructions. Fall 2020 Submissions are due on Thursday 12/10 at 10.00pm ET. Please upload scans of your solution in GradeScope (via Canvas) Homework 12 Instructions Please solve all non-MATLAB problems using only paper and pen, without resorting to a computer. Please show all necessary steps
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Procedures Overview °C Functions °MIPS Instructions for Procedures °The Stack °Register Conventions °Another Example C functions main() { int i,j,k,m; i = mult(j,k); … m = mult(i,i); … } What information must ;compiler/programmer keep track of? /* really dumb mult function */ int mult (int mcand, int mlier){ int product; product = 0; while (mlier
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CS.542 Machine Learning, Fall 2020 I. Math and Probability Basics Q1: Review of Definitions (a) For a scalar random variable 𝑥, give the definition of its mean and variance. (b) For a vector random variable 𝑥 ∈ R𝑛, give the definition of its mean and covariance. Q2: Short questions (a) Given a vector 𝑣 ∈
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Announcements Reminder: ps3 due Thursday 10/8 at midnight (Boston) • ps4 out Thursday, due 10/15 (1 week) • Lab this week – neural network learning • ps3 self-grading form out Monday, due 10/19 Neural Networks III Today: Outline • Neural networks cont’d • Types of networks: Feed-forward networks, convolutional networks, recurrent networks • ConvNets: multiplication
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Computer Science 230 Computer Architecture and Assembly Language Fall 2020 Assignment 3 Due: Monday, November 23th, 11:55 pm by conneX submission (Late submissions not accepted) Programming environment For this assignment you must ensure your work executes correctly on the MIPS Assembler and Runtime Simulator (MARS) as was installed during Assignment #0. Assignment submissions prepared with
Announcements Reminder: pset5 self-grading form and pset6 out today, due 11/19 (1 week) Unsupervised Learning III: Anomaly Detection Machine Learning Anomaly detection • What is anomaly detection? • Methods: – Density estimation – Detection by reconstruction – One-class SVM What is an anomaly? Anomaly Detection is • An unsupervised learning problem (data unlabeled) • About
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