Combinatorial Solutions to Elastic Shape Matching. - Cremers - Workshop 3 - CEB T1 2019
Daniel Cremers (TU Munich) / 02.04.2019 Combinatorial Solutions to Elastic Shape Matching. In my presentation, I will focus on four different shape matching problems, namely the matching between two planar shapes, the matching between two 3D shapes, the matching between a shape and an i
From playlist 2019 - T1 - The Mathematics of Imaging
Pattern Matching - Correctness
Learn how to use pattern matching to assist you in your determination of correctness. This video contains two examples, one with feedback and one without. https://teacher.desmos.com/activitybuilder/custom/6066725595e2513dc3958333
From playlist Pattern Matching with Computation Layer
We are given a bipartite graph where each vertex has a strict preference list ranking its neighbors. A matching M is stable if there is no unmatched pair ab, so that a and b both prefer each other to their partners in M. A matching M is popular if there is no matching M' such that the num
From playlist HIM Lectures 2015
Feature Matching (Homography) Brute Force - OpenCV with Python for Image and Video Analysis 14
Welcome to a feature matching tutorial with OpenCV and Python. Feature matching is going to be a slightly more impressive version of template matching, where a perfect, or very close to perfect, match is required. We start with the image that we're hoping to find, and then we can search f
From playlist OpenCV with Python for Image and Video Analysis
Sometimes you need to nest a pattern in another pattern. Learn how to build these patterns and then extract information from them. https://teacher.desmos.com/activitybuilder/custom/605e21d90925ca0c93fabbbd
From playlist Pattern Matching with Computation Layer
What happens when two objects collide? License: Creative Commons BY-NC-SA More information at http://k12videos.mit.edu/terms-conditions
From playlist Physics
Amazon AWS Tutorial #3: Attaching an Elastic Load Balancer to your Auto-Scaling Group
In this video you'll learn how to create an AWS ELB (Elastic Load Balancer) that balances load across your web application. You'll see how easy it is to hook up an Application Load balancer to an Auto-Scaling Group so that you're always guaranteed a healthy website when you do a page load,
From playlist Amazon AWS Tutorial
PHYS 101 | Elasticity 1 - Elastic Moduli
A big picture introduction to the different kind of elastic moduli, and how they are all kind of the same.
From playlist PHYS 101 | Statics & Elasticity
Automatic Pattern Matching for 3D Geometry in Blender
To help refining the alignment of multiple 3D scans with each other, I have written a new tool for Blender which automatically finds the best fit for mesh objects.
From playlist Random Blender Tests
Ruby Conf 2013 - Mastering Elasticsearch With Ruby
By Luca Bonmassar Users have come to expect state-of-the-art search features in every part of their online experience. The good news for developers is that features like autosuggest, spell-correct, and personalized search are becoming easier to develop thanks to services like Elasticsearc
From playlist RubyConf 2013
Rails Conf 2013 Using Elasticsearch with Rails Apps by Brian Gugliemetti
Elasticsearch is a powerful text search engine that's easy to configure and to integrate into your Rails and Ruby applications. But it's more than just a general text search engine--elasticsearch stores data in JSON format allowing for faceting and complex searches. There are gems that int
From playlist Rails Conf 2013
Amar Martine Ben Amar - Morpho-elasticity of thin living structures
Thin structures are ubiquitous in life mostly in botanic (flowers, leaves) but not only . In mammals or insects, they concern epithelia or the couple epithelium-extracellular matrix joined in a thin bilayer. The complexity of finite-elasticity with growth is then simplified, the main task
From playlist Workshop "Tissue growth and movement" - 10-14 January 2022
Elasticsearch Tutorial | Getting Started with Elasticsearch | ELK Stack Training | Edureka
( ELK Stack Training - https://www.edureka.co/elk-stack-training ) This Edureka video on Elasticsearch Tutorial will help you in understanding the fundamentals of Elasticsearch along with its practical usage and help you in building a strong foundation in ELK Stack. This video helps you to
From playlist ELK Stack Tutorial For Beginners
ETH Lecture 09. Nonlinear Dynamics II: Applications to Economics (17/11/2011)
Course: Systems Dynamics and Complexity (Fall 2011) from ETH Zurich. Source: http://www.video.ethz.ch/lectures/d-mtec/2011/autumn/351-0541-00L.html
From playlist ETH Zürich: Systems Dynamics and Complexity (Fall 2011) | CosmoLearning Mathematics
DjangoCon 2014- Elasticsearch DSL
By, Honza Král Elasticsearch DSL is a new library for integrating Django apps with Elasticsearch, enabling users to utilize the full power of Elasticsearch. Help us caption & translate this video! http://amara.org/v/FOP7/
From playlist DjangoCon 2014
DjangoCon US 2015 - Beyond the basics with Elasticsearch by Honza Kral
Beyond the basics with Elasticsearch Elasticsearch has many use cases, some of them fairly obvious and widely used, like plain searching through documents or analytics. In this talk I would like to go through some of the more advanced scenarios we have seen in the wild. Some examples of w
From playlist DjangoCon 2015
Role of Friction in Ciliary Beating and Collective Phototaxis by Prerna Sharma
DISCUSSION MEETING: THIRSTING FOR THEORETICAL BIOLOGY (ONLINE) ORGANIZERS: Vaishnavi Ananthanarayanan (UNSW & EMBL Australia), Vijaykumar Krishnamurthy (ICTS-TIFR, India), and Vidyanand Nanjundiah (Centre for Human Genetics, India) DATE: 11 January 2021 to 22 January 2021 VENUE: Online Co
From playlist Thirsting for Theoretical Biology (Online)
Manuel Athenes - Thermodynamic & transport properties of metal alloys: thermoelasticity & diffusion
Recorded 28 March 2023. Manuel Athenes of Commissariat à l'Énergie Atomique (CEA) - Centre d'Études Nucléaires de Saclay (CENS) presents "Conditioning schemes for accurately estimating thermodynamic and transport properties of metallic alloys: application to thermo-elasticity and elasto-di
From playlist 2023 Increasing the Length, Time, and Accuracy of Materials Modeling Using Exascale Computing
Regularization Part 3: Elastic Net Regression
Elastic-Net Regression is combines Lasso Regression with Ridge Regression to give you the best of both worlds. It works well when there are lots of useless variables that need to be removed from the equation and it works well when there are lots of useful variables that need to be retained
From playlist StatQuest