Common spatial pattern (CSP) is a mathematical procedure used in signal processing for separating a multivariate signal into additive subcomponents which have maximum differences in variance between two windows. (Wikipedia).
Patterns - Grade 3 Common Core Standards
In this video, we exam a simple pattern
From playlist Common Core Standards - 3rd Grade
This video introduces similarity and explains how to determine if two figures are similar or not. http://mathispower4u.com
From playlist Number Sense - Decimals, Percents, and Ratios
This video introduces geometric sequences. http://mathispower4u.yolasite.com/
From playlist Infinite Series
How to find the common ratio of a geometric sequence
๐ Learn how to determine if a sequence is arithmetic, geometric, or neither. A sequence is a list of numbers/values exhibiting a defined pattern. A number/value in a sequence is called a term of the sequence. There are many types of sequence, among which are: arithmetic and geometric seque
From playlist Sequences
Given the first term and common ratio, find the explicit formula of the geometric sequence
๐ Learn how to write the explicit formula for a geometric sequence. A sequence is a list of numbers/values exhibiting a defined pattern. A number/value in a sequence is called a term of the sequence. A geometric sequence is a sequence in which each term of the sequence is obtained by multi
From playlist Sequences
Introduction To Sequences | Algebraย | Maths | FuseSchool
In this video weโre going to discover some key sequences terminology and how to recognise and generate some important sequences. We will come across all of these key sequences... Arithmetic, Linear, Triangular, Square, Cube, Fibonacci, Quadratic, Geometric. And these key words; Term, 1st t
From playlist MATHS
What is the alternate in sign sequence
๐ Learn about sequences. A sequence is a list of numbers/values exhibiting a defined pattern. A number/value in a sequence is called a term of the sequence. There are many types of sequence, among which are: arithmetic and geometric sequence. An arithmetic sequence is a sequence in which
From playlist Sequences
How to find the common difference between terms of a sequence
๐ Learn how to determine if a sequence is arithmetic, geometric, or neither. A sequence is a list of numbers/values exhibiting a defined pattern. A number/value in a sequence is called a term of the sequence. There are many types of sequence, among which are: arithmetic and geometric seque
From playlist Sequences
What is the definition of a geometric sequence
๐ Learn about sequences. A sequence is a list of numbers/values exhibiting a defined pattern. A number/value in a sequence is called a term of the sequence. There are many types of sequence, among which are: arithmetic and geometric sequence. An arithmetic sequence is a sequence in which
From playlist Sequences
The Visions of Shamans and Saints: Dynamic instabilities in Neuroscience by Bard Ermentrout
SPEAKER: Bard Ermentrout (University of Pittsburgh, USA) WHEN: 4pm to 6pm Sunday, 14 May 2017 WHERE: Jawaharlal Nehru Planetarium, Bengaluru Patterns are ubiquitous in the nervous system. These range from the temporal patterns of locomotion (e.g. gaits such as the trot, walk, and gallop)
From playlist Kaapi With Kuriosity (A Monthly Public Lecture Series)
Statistical Rethinking 2022 Lecture 16 - Gaussian Processes
Slides and other course materials: https://github.com/rmcelreath/stat_rethinking_2022 Intro: https://www.youtube.com/watch?v=uYNzqgU7na4 Music: https://www.youtube.com/watch?v=kXuasY8pDpA Music: https://www.youtube.com/watch?v=eTtTB0nZdL0 Pause: https://www.youtube.com/watch?v=pxPdsqrQByM
From playlist Statistical Rethinking 2022
9: Receptive Fields - Intro to Neural Computation
MIT 9.40 Introduction to Neural Computation, Spring 2018 Instructor: Michale Fee View the complete course: https://ocw.mit.edu/9-40S18 YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP61I4aI5T6OaFfRK2gihjiMm Covers how to mathematically describe a neural response, spatia
From playlist MIT 9.40 Introduction to Neural Computation, Spring 2018
Exotic patterns in Faraday waves by Laurette Tuckerman (Sorbonne University, France)
ICTS Special Colloquium Title: Exotic patterns in Faraday waves Speaker: Laurette Tuckerman (Sorbonne University, France) Date & Time: Thu, 20 February 2020, 11:30 to 13:00 Venue: Emmy Noether Seminar Room, ICTS Campus, Bangalore Abstract: For the Faraday instability, by which stand
From playlist ICTS Colloquia
DIRECT 2021 08 Spatial Statistics for Modeling
DIRECT Consortium at The University of Texas at Austin, working on novel methods and workflows in spatial, subsurface data analytics, geostatistics and machine learning. This is Spatial Statistics for Characterization and Modeling Subsurface Fractures by Mahmood Shakiba, supported by th
From playlist DIRECT Consortium, The University of Texas at Austin
Rose Yu: "Multiresolution Tensor Learning for Efficient and Interpretable Spatial Analysis"
Tensor Methods and Emerging Applications to the Physical and Data Sciences 2021 Workshop IV: Efficient Tensor Representations for Learning and Computational Complexity "Multiresolution Tensor Learning for Efficient and Interpretable Spatial Analysis" Rose Yu - University of California, Sa
From playlist Tensor Methods and Emerging Applications to the Physical and Data Sciences 2021
TeraLasso for sparse time-varying image modeling - Hero - Workshop 2 - CEB T1 2019
Alfred Hero (Univ. of Michigan) / 15.03.2019 TeraLasso for sparse time-varying image modeling. We propose a new ultrasparse graphical model for representing time varying images, and other multiway data, based on a Kronecker sum representation of the spatio-temporal inverse covariance ma
From playlist 2019 - T1 - The Mathematics of Imaging
Self-organized formation of topologically robust grid cell modules from smooth.. by Sarthak Chandra
DISCUSSION MEETING NEUROSCIENCE, DATA SCIENCE AND DYNAMICS (ONLINE) ORGANIZERS: Amit Apte (IISER-Pune, India), Neelima Gupte (IIT-Madras, India) and Ramakrishna Ramaswamy (IIT-Delhi, India) DATE : 07 February 2022 to 10 February 2022 VENUE: Online This discussion meeting on Neuroscien
From playlist Neuroscience, Data Science and Dynamics (ONLINE)
Kelling: Informing Bird Conservation at Multiple Spatial Scales
Steve Kelling discusses eBird, a global citizen science effort to centralize bird observations. Kelling shows recent work that has used occurrence data to generate spatial and temporal models of birds.
From playlist Spatial Biodiversity Science and Conservation
From playlist Unlisted LA Videos
17b Machine Learning: Convolutional Neural Networks
Accessible lecture on convolutional neural networks. The Python demonstrations are here: - operators demo - https://git.io/JkqV9 - CNN demo - https://git.io/JksEJ I hope this is helpful, Michael Pyrcz (@GeostatsGuy)
From playlist Machine Learning