8 2 Randomized Selection Analysis 21 min
From playlist Algorithms 1
http://AllSignalProcessing.com for more great signal processing content, including concept/screenshot files, quizzes, MATLAB and data files. Frequency domain analysis of upsampling a discrete-time signal (increasing the effective sampling rate) by inserting zeros followed by lowpass filte
From playlist Sampling and Reconstruction of Signals
Observing A Vote - Applied Cryptography
This video is part of an online course, Applied Cryptography. Check out the course here: https://www.udacity.com/course/cs387.
From playlist Applied Cryptography
Max Halford: Online Machine Learning with Creme | PyData Amsterdam 2019
Machine learning is often presented as a batch problem, where typically you "fit" a model to a training set and then "predict" on a test set. However, this approach turns out to be too rigid in practice mostly because in real life data is usually arriving in a sequential manner. Online mac
From playlist Kagglers on YouTube | Kaggle
The Optimality of the Interleaving Distance on Multidimensional... Modules - Michael Lesnick
Michael Lesnick Stanford University; Member, School of Mathematics, IAS March 6, 2013 Persistent homology is a central object of study in applied topology. It offers a flexible framework for defining invariants, called barcodes, of point cloud data and of real valued functions. Many of the
From playlist Mathematics
Modular Exponentiation Quiz - Applied Cryptography
This video is part of an online course, Applied Cryptography. Check out the course here: https://www.udacity.com/course/cs387.
From playlist Applied Cryptography
Primoz Skraba (2/28/18): An approximate nerve theorem
The Nerve Theorem is an implicit tool in most applications of topological data analysis relating the topological type of a suitably nice space with a combinatorial description of the space, namely, the nerve of a cover of that space. It is required that it is a good cover, that each elemen
From playlist AATRN 2018
Continuous multi-fidelity optimization
This video is #8 in the Adaptive Experimentation series presented at the 18th IEEE Conference on eScience in Salt Lake City, UT (October 10-14, 2022). In this video, Sterling Baird @sterling-baird presents on continuous multifidelity optimization. Continuous multi-fidelity optimization is
From playlist Optimization tutorial
Convolution in the time domain
Now that you understand the Fourier transform, it's time to start learning about time-frequency analyses. Convolution is one of the best ways to extract time-frequency dynamics from a time series. Convolution can be conceptualized and implemented in the time domain or in the frequency doma
From playlist OLD ANTS #3) Time-frequency analysis via Morlet wavelet convolution
MIT 6.004 Computation Structures, Spring 2017 Instructor: Chris Terman View the complete course: https://ocw.mit.edu/6-004S17 YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP62WVs95MNq3dQBqY2vGOtQ2 7.2.4 Circuit Interleaving License: Creative Commons BY-NC-SA More info
From playlist MIT 6.004 Computation Structures, Spring 2017
Ulrich Bauer: Algebraic perspectives of Persistence
The lecture was held within the framework of the Hausdorff Trimester Program : Applied and Computational Algebraic Topology Persistent homology, the homology of a filtration, is described up to isomorphism by the persistence diagram (barcode), which encodes the structure of its indecompos
From playlist HIM Lectures: Special Program "Applied and Computational Algebraic Topology"
SPO1422 Persistent Memory in Operation
This sponsor session was delivered at SUSECON in April 2019, in Nashville, TN. Abstract: With Next Generation Persistent Memory the latency to access storage will no longer be dominated by the persistence layer, but by the Software. What are the advantages of being able to store data direc
From playlist SUSECON 2019
Jeffrey Giansiracusa (10/30/1): Multiparameter persistence vs parametrized persistence
One of the key properties of 1-parameter persistent homology is that its output can entirely encoded in a purely combinatorial way via persistence diagrams or barcodes. However, many applications of topological data analysis naturally present themselves with more than 1 parameter. Multipa
From playlist AATRN 2018
Voting Theory: Instant Runoff Voting
This video explains how to determine the winner of an election using instant runoff voting. Site: http://mathispower4u.com
From playlist Voting Theory
Michael Lesnick (2/23/2022): Stability of 2-Parameter Persistent Homology
We show that the standard stability results for union-of-balls, Čech, and Rips persistent homology have natural analogues in the 2-parameter setting, formulated in terms of the multicover bifiltration and Sheehy's subdivision bifiltrations. Our results imply that these bifiltrations are r
From playlist AATRN 2022
Persistent matchmaking - Uli Bauer
Workshop on Topology: Identifying Order in Complex Systems Topic: Persistent matchmaking Speaker: Uli Bauer Affiliation: Technical University of Munich Date: March 5, 2021 For more video please visit http://video.ias.edu
From playlist Mathematics
Adaptive Sampling via Sequential Decision Making - András György
The workshop aims at bringing together researchers working on the theoretical foundations of learning, with an emphasis on methods at the intersection of statistics, probability and optimization. Lecture blurb Sampling algorithms are widely used in machine learning, and their success of
From playlist The Interplay between Statistics and Optimization in Learning
Ling Zhou (8/30/21): Other Persistence Invariants: homotopy and the cohomology ring
In this work, we study both the notions of persistent homotopy groups and persistent cohomology rings. In the case of persistent homotopy, we pay particular attention to persistent fundamental groups for which we obtain a precise description via dendrograms, as a generalization of a simila
From playlist Beyond TDA - Persistent functions and its applications in data sciences, 2021