The Covariance Matrix : Data Science Basics
What is the covariance matrix and how is it computed? --- Like, Subscribe, and Hit that Bell to get all the latest videos from ritvikmath ~ --- Check out my Medium: ...
ritvikmath
Modeling and Simulation of Walking Robots
Join Sebastian Castro as he outlines a simulation-based workflow for modeling and controlling a bipedal walking robot using Simscape™ and Simscape ...
MATLAB
Affine Transformations
This video is part of the Udacity course "Computational Photography". Watch the full course at https://www.udacity.com/course/ud955.
Udacity
RI Seminar: David Breen : Level Set Models for Computer Graphics
David Breen Associate Professor Department of Computer Science, Drexel University Friday, January 26, 2018 Level Set Models for Computer Graphics ...
cmurobotics
SLAM-Course - 01 - Introduction to Robot Mapping (2013/14; Cyrill Stachniss)
Cyrill Stachniss
Linear Programming
This precalculus video tutorial provides a basic introduction into linear programming. It explains how to write the objective function and constraints of linear ...
The Organic Chemistry Tutor
Greg Reid: Numerical Differential-Geometric Algorithms in Computational Discovery
We consider classes of models specified by polynomial equations, or more generally polynomially nonlinear partial differential equations, with parametric ...
Rotman Institute of Philosophy
DLS: Image Processing and Computational Mathematics
Tony Chan, President The Hong Kong University of Science and Technology (HKUST) October 7th, 2015 - Davis Centre, University of Waterloo Image ...
uwaterloo
Reconstructing head models from photographs for individualized 3D-audio processing
Visual fidelity and interactivity are the main goals in Computer Graphics research, but recently also audio is assuming an important role. Binaural rendering can ...
VisualComputingLaboratory Isti
What is Computational Design? And 9 Concepts Related to It
What is Computational Design? It's when you let the design, or an aspect of the design be computed for you. Welcome to Computational Design Basics — an ...
Digital Design Unit - TU Darmstadt
Code-It-Yourself! 3D Graphics Engine Part #1 - Triangles & Projection
This video is part #1 of a new series where I construct a 3D graphics engine from scratch. I start at the beginning, setting up the project, then discuss vertices and ...
javidx9
A.I. Experiments: Visualizing High-Dimensional Space
Check out https://g.co/aiexperiments to learn more. This experiment helps visualize what's happening in machine learning. It allows coders to see and explore ...
Google Developers
The Discrete Fourier Transform
This video provides a basic introduction to the very widely used and important discrete Fourier transform (DFT). The DFT describes discrete-time signals as a ...
Barry Van Veen
The power of Geometric Algebra Computing for Mathematica
Wolfram
WMS: Automated HEC-HMS Modeling with Online Spatial Data
WMS has unparalleled tools that allow you to easily download and use spatial data for hydrologic modeling. After downloading the necessary data, you can use ...
Aquaveo
Lecture 14: Bayes' Nets - Independence
CS188 Artificial Intelligence, Fall 2013 Instructor: Prof. Dan Klein.
CS188Fall2013
[10] RhinoCommon II | GSD-6338: Introduction to Computational Design | Harvard GSD
In this lecture, we continue exploring the possibilities of RhinoCommon, and we illustrate them with several examples of C# components in Grasshopper.
garciadelcastillo
Geometry and Massive Data
Talk by Dr. Ravi Kannan at TechVista 2012, Kolkata, India. Abstract: Modeling each data record in a problem as a vector is an important tool in modern ...
Microsoft Research
SIGGRAPH University - "Fundamentals Seminar"
This complimentary course, originally presented at SIGGRAPH 2014, is designed for everyone. If you are a first-time attendee, this is for you. If you are an ...
ACMSIGGRAPH
Differentially Private Algorithms: Some Primitives and Paradigms - Kunal Talwar
Differential Privacy Symposium: Four Facets of Differential Privacy Saturday, November 12, 2016 https://www.ias.edu/differential-privacy More videos on ...
Institute for Advanced Study
Getting to know Fran Kalal | Sets & Staging | Computer animation | Khan Academy
Watch the next lesson: ...
Khan Academy Labs
Math in Our Lives Series: SIAM Journal on Applied Mathematics
What is the best use of personal energy while running track? Can math be used to predict sea level rise and its impact? These are topics of recent SIAM journal ...
Society for Industrial and Applied Mathematics
On Characterizing the Capacity of Neural Networks using Algebraic Topology
The learnability of different neural architectures can be characterized directly by computable measures of data complexity. In this talk, we reframe the problem of ...
Microsoft Research
Resonance Learning Mechanical Vibrations Through Computational Thinking | SciPy 2018 | Lyons
I will describe a pilot project at the University of California, Davis on the redesign of an upper level mechanical vibrations engineering course where students ...
Enthought
A Quest for Visual Intelligence
Fei-Fei Li Director, AI Lab Stanford University IBM Research Cognitive Systems Colloquium: Brain-Inspired Computing at IBM Research - Almaden in San Jose, ...
IBM Research
PhotoTechEDU Day 14: Exposing Digital Forgeries from...
Google Tech Talks April 25, 2007 ABSTRACT With the advent of high-resolution digital cameras, powerful personal computers and sophisticated photo-editing ...
GoogleTechTalks
Big data, sparse information: Bayesian inference for large-scale models; Omar Ghattas
Presentation given at the PASC14 conference, June 2-3, 2014 www.pasc14.org Big data, sparse information: Bayesian inference for large-scale models, with ...
cscsch
Computer Vision in the Study of Art
(January 13, 2012) David Stork describes how we can use computers and computer generated imagery to gain a better understanding of paintings and other ...
Stanford
[04] Vectors | GSD-6338: Introduction to Computational Design | Harvard GSD
In this lecture, we discuss vector algebra, and the relation between vector operations and their geometrical meaning. Recorded on 2019/09/17. This video is part ...
garciadelcastillo
Lecture - 34 Analysis of Flexible Pavements
Lecture Series on Introduction to Transportation Engineering by Prof. Bhargab Maitra and Prof. K. Sudhakar Reddy, Department of Civil Engineering, ...
nptelhrd
Joan Bruna: "On Computational Hardness with Graph Neural Networks"
New Deep Learning Techniques 2018 "On Computational Hardness with Graph Neural Networks" Joan Bruna, New York University Abstract: Deep Learning, ...
Institute for Pure & Applied Mathematics (IPAM)
WPI PhD Dissertation Defense: Ms. Bengi Aygun - 26 July 2016
Title: Distributed Adaptation Techniques for Connected Vehicles PhD Candidate: Ms. Bengi Aygun Abstract: In this PhD dissertation, we propose distributed ...
WPI
CVPR18: Session 1-2C: Machine Learning for Computer Vision II
Orals (O1-2C) 1. [E10] Learning to Find Good Correspondences, Kwang Moo Yi, Eduard Trulls, Yuki Ono, Vincent Lepetit, Mathieu Salzmann, Pascal Fua 2.
ComputerVisionFoundation Videos
Introducing Maple 2020: Something for Everyone
Maple 2020 offers a vast collection of enhancements for both long-time customers and those who are using Maple for the very first time. In this webinar, you'll ...
Maplesoft
Manohar Pulari: Computer Vision
Manohar Pulari: Computer Vision @ Facebook Title: Computer Vision @ Facebook Abstract: Over the past 5 years the community has made significant strides in ...
Allen Institute for AI
[08] Curves | GSD-6338: Introduction to Computational Design | Harvard GSD
In this lecture, we discuss different numerical representations for different types of curves, such as implicit or explicit equations for lines, planes, circles or Bézier ...
garciadelcastillo
AP Statistics Chapter 17 - Geometric and Binomial Models
learn how to find probability of an event occurring in a geometric or binomial model.
1028cmk
Mini-Course: Computational methods in applied inverse problems - Class 01
Mini-Course: Uri Ascher (British Columbia, Canada) Title: Computational methods in applied inverse problems Abstract Below is a brief description of my ...
Instituto de Matemática Pura e Aplicada
Newish Media: A Conversation with Lucia Allais and John May
CONVERSANTS: Lucia Allais Rendering and Experience Assistant Professor of Architecture, Princeton University, Editor Grey Room, member of Aggregate ...
Harvard GSD
WebGL - Latest Techniques - SIGGRAPH 2019 BOF Sessions
Slides: https://www.khronos.org/webgl/wiki/Presentations#SIGGRAPH_2019_WebGL_BOF 0:00 Ken Russell (Google) 8:32 Yang Gu (Intel) 14:34 Gary Hsu ...
The Khronos Group
Computational Methods for Numerical Relativity, Part 1 Frans Pretorius
Computational Methods for Numerical Relativity, Part 1 Frans Pretorius Princeton University July 16, 2009.
Institute for Advanced Study
Lecture - 14 Curves (Contd.)
Introduction to Computer Graphics.
nptelhrd
