All
Search
Images
Videos
Maps
News
More
Shopping
Flights
Travel
Notebook
Report an inappropriate content
Please select one of the options below.
Not Relevant
Offensive
Adult
Child Sexual Abuse
Length
All
Short (less than 5 minutes)
Medium (5-20 minutes)
Long (more than 20 minutes)
Date
All
Past 24 hours
Past week
Past month
Past year
Resolution
All
Lower than 360p
360p or higher
480p or higher
720p or higher
1080p or higher
Source
All
Dailymotion
Vimeo
Metacafe
Hulu
VEVO
Myspace
MTV
CBS
Fox
CNN
MSN
Price
All
Free
Paid
Clear filters
SafeSearch:
Moderate
Strict
Moderate (default)
Off
Filter
1:05:06
Microsoft
Local Low-Rank Matrix Approximation
Matrix approximation is a common tool in recommendation systems, text mining, and computer vision. A prevalent assumption in constructing matrix approximations is that the partially observed matrix is of low-rank. We propose a new matrix approximation model where we assume instead that the matrix is locally of low-rank, leading to a ...
May 7, 2014
Low-rank Approximation Applications
2:11
Pure Maths EQ - Small Angle Approximation, Radians
YouTube
Zeeshan Zamurred
12K views
May 12, 2023
Madeleine Udell: "Low Rank Tucker Approximation of a Tensor from Streaming Data"
YouTube
Institute for Pure & Applied
508 views
May 28, 2021
Lecture 15: Python Implementation of SVD and Low - rank Approximation
YouTube
IIT Roorkee July 2018
13.3K views
Jul 26, 2021
Top videos
PROBLEM 7. If we use a high rank approximation, then the amount of data needed for the approximation may exceed the amount of data used in the original representation of the picture. Find the smallest value of k such that the rank-k approximation of the matrix uses the same or more amount of data as the original picture. Approximations with ranks higher than this k cannot be used for image compression since they defeat the purpose of using less data than in the original representation.Hint: Use
numerade.com
Apr 27, 2023
Lecture 7: Eckart-Young: The Closest Rank k Matrix to A | Matrix Methods in Data Analysis, Signal Processing, and Machine Learning | Mathematics | MIT OpenCourseWare
MIT
Apr 1, 2022
22:24
Principal Component Analysis - 3
YouTube
NPTEL-NOC IITM
1.5K views
May 12, 2023
Low-rank Approximation Algorithms
8:54
Fuzzification and Defuzzification ll Soft Computing Course Explained in Hindi
YouTube
5 Minutes Engineering
211.2K views
Feb 22, 2019
30:26
The Traveling Salesman Problem: When Good Enough Beats Perfect
YouTube
Reducible
347.9K views
Jul 26, 2022
6:40
Spline Curve Explained in Hindi l Computer Graphics
YouTube
5 Minutes Engineering
94.2K views
Feb 25, 2022
PROBLEM 7. If we use a high rank approximation, then the amount o
…
Apr 27, 2023
numerade.com
Lecture 7: Eckart-Young: The Closest Rank k Matrix to A | Matri
…
Apr 1, 2022
MIT
22:24
Principal Component Analysis - 3
1.5K views
May 12, 2023
YouTube
NPTEL-NOC IITM
2:11
Pure Maths EQ - Small Angle Approximation, Radians
12K views
May 12, 2023
YouTube
Zeeshan Zamurred
27:18
LoRA: Low-Rank Adaptation of LLMs Explained
11.3K views
Apr 26, 2023
YouTube
Gabriel Mongaras
Madeleine Udell: "Low Rank Tucker Approximation of a Tensor from S
…
508 views
May 28, 2021
YouTube
Institute for Pure & Applied Mathematics (IPAM)
0:36
Effective Streaming Low Tubal Rank Tensor Approximation via Freque
…
1 views
9 months ago
YouTube
PYTHONPROJECTS
Lecture 15: Python Implementation of SVD and Low - rank Approximat
…
13.3K views
Jul 26, 2021
YouTube
IIT Roorkee July 2018
1:22:00
Ming Yuan: "Low Rank Tensor Methods in High Dimensional Dat
…
2.7K views
Mar 24, 2021
YouTube
Institute for Pure & Applied Mathematics (IPAM)
Efficient Alternating Minimization with Applications to Weighted Lo
…
175 views
Dec 28, 2023
YouTube
simapofang
NIPS 2011 Sparse Representation & Low-rank Approximation Worksho
…
826 views
Feb 8, 2012
YouTube
Google TechTalks
Mod-01 Lec-17 Least Square Approximations, Necessary and S
…
4.1K views
Dec 26, 2014
YouTube
nptelhrd
8:28
Lecture 49 — SVD Gives the Best Low Rank Approximation (Advanc
…
52.2K views
Apr 13, 2016
YouTube
Artificial Intelligence - All in One
8:53
How To... Perform a Wilcoxon Signed Rank Test (By Hand)
470.3K views
Jun 13, 2017
YouTube
Eugene O'Loughlin
9:00
02.1.1 Low rank approximation
12.4K views
Dec 13, 2019
YouTube
Advanced LAFF
Fast and Stable Randomized Low-rank Matrix Approximation
127 views
Feb 12, 2023
bilibili
gorfmai
Christian Thurau - Low-rank matrix approximations in Python
3.5K views
Jul 26, 2014
YouTube
PyData
13:48
Insights from Finetuning LLMs with Low-Rank Adaptation
8.8K views
Dec 17, 2023
YouTube
Sebastian Raschka
7:52
Denoising and Low Rank Approximation | Unsupervised Le
…
274 views
Jan 13, 2022
YouTube
Krishnaswamy Lab
Optimal exact least squares rank minimization | Proceedings of the
…
Jan 7, 2020
acm.org
8:04
Least Squares Approximation
71.5K views
Jul 25, 2018
YouTube
MIT OpenCourseWare
14:11
Singular Value Decomposition (the SVD)
665.6K views
May 6, 2016
YouTube
MIT OpenCourseWare
14:54
Singular Value Decomposition (SVD): Matrix Approximation
269.7K views
Jan 20, 2020
YouTube
Steve Brunton
5:45
Linear Algebra - 22 - Rank
53.2K views
Jul 6, 2016
YouTube
The Lazy Engineer
5:01
Small Angle Approximation Explained
26.2K views
Jan 17, 2014
YouTube
The Complete Guide to Everything
15:03
Spearman's Rank Correlation part 3
512.2K views
Nov 9, 2017
YouTube
ECOHOLICS - Largest Platform for Economics
1:51
How To Rank In Excel From Lowest To Highest
8.5K views
Feb 14, 2019
YouTube
28 November 2016
14:57
Cramer Rao Lower Bound | Cramer Rao Inequality
15.7K views
Jun 6, 2021
YouTube
Statistics Curiosity
4:33
The Normal Approximation to the Binomial Distribution
95.7K views
Oct 14, 2012
YouTube
Larry Green
See more videos
More like this
Feedback