# el2320-project Combination of Particle Filter and Kalman Filter approaches in a simple real-time object tracking example. We aim at using the best of both in order to design a reliable object tracking algorithm for simple scenarios. Section 1 presents the algorithm that we have used and further explains each part. Next, section 2 analyses […]
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ESS116 ESS 116 Introduction to Data Analysis in Earth Science Image Credit: NASA Instructor: Mathieu Morlighem E-mail: mmorligh@uci.edu (include ESS116 in subject line) Office Hours: 3218 Croul Hall, Friday 2:00 pm – 3:00 pm This content is protected and may not be shared uploaded or distributed Part 1: 60 min “in class” next week May
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PowerPoint Presentation Topics Solving system of linear equations LTIC system zero-input and zero-state response Solving differential equation: dsolve() function Signal as a summation of scaled and time delayed impulses ai δ(t-ti) Impulse response from D.E. Convolution (translating mathematical definition into a code) Debugging Matlab code Matlab inbuilt function: conv() scaling factor for conv() Deconvolution: deconv()
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Comma splices Intro to C CSE 2421 1 C is procedural, not object-oriented C is fully compiled (to machine code), not to byte-code C allows direct manipulation of memory (via pointers) C does not have garbage collection; the software writer has to do explicit memory management when it is required, and failure to do so
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HW5: Neural Networks¶ Introduction¶ In this exercise, you will implement the backpropagation algorithm for neural networks and apply it to the task of hand-written digit recognition. In [ ]: # used for manipulating directory paths import os # Scientific and vector computation for python import numpy as np # Plotting library import matplotlib.pyplot as plt # Optimization
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Report Submission Information (must be completed before submitting report!) • Student 1 Full Name and Number : Hao Xu 718329 • Student 2 Full Name and Number : • Workshop day : Thursday • Workshop time : 6:15 – 8:15pm Workshop 1 – Optimisation [2 weeks] ¶ Objectives:¶ • Learn how to formulate optimisation problems
Report Submission Information (must be completed before submitting report!) • Student 1 Full Name and Number : Hao Xu 718329 • Student 2 Full Name and Number : • Workshop day : Thursday • Workshop time : 6:15 – 8:15pm Workshop 1 – Optimisation [2 weeks] ¶ Objectives:¶ • Learn how to formulate optimisation problems
Support Vector Machines¶ You can use sklearn API for this homework. In [1]: # used for manipulating directory paths import os # Scientific and vector computation for python import numpy as np # Import regular expressions to process emails import re # Plotting library import matplotlib.pyplot as plt # Optimization module in scipy from scipy import
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ESS 116 Introduction to Data Analysis in Earth Science ESS 116 Introduction to Data Analysis in Earth Science Image Credit: NASA Instructor: Mathieu Morlighem E-mail: mmorligh@uci.edu (include ESS116 in subject line) Office Hours: 3218 Croul Hall, Friday 2:00 pm – 3:00 pm This content is protected and may not be shared uploaded or distributed Lecture
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ESS116 ESS 116 Introduction to Data Analysis in Earth Science Image Credit: NASA Instructor: Mathieu Morlighem E-mail: mmorligh@uci.edu (include ESS116 in subject line) Office Hours: 3218 Croul Hall, Friday 2:00 pm – 3:00 pm This content is protected and may not be shared uploaded or distributed WEEK TOPIC LAB 1 Introduction and MATLAB Introduction to
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