YoVDO

Low Distortion Embeddings With Bottom-up Manifold Learning

Offered By: IEEE Signal Processing Society via YouTube

Tags

Data Science Courses Signal Processing Courses Dimensionality Reduction Courses Embeddings Courses Manifold Learning Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore low distortion embeddings and bottom-up manifold learning in this 57-minute webinar presented by Dr. Gal Mishne from UC San Diego. Gain insights into advanced data science techniques as part of the Data sciEnce on GrAphS (DEGAS) Webinar Series, organized in collaboration with the IEEE Signal Processing Society Data Science Initiative. Delve into the intricacies of manifold learning and its applications in signal processing and data analysis. Enhance your understanding of cutting-edge approaches to dimensionality reduction and data representation. Discover how these methods can be applied to real-world problems in various fields of signal processing and data science.

Syllabus

Low Distortion Embeddings With Bottom-up Manifold Learning


Taught by

IEEE Signal Processing Society

Related Courses

From Reinforcement Learning to Spin Glasses - The Many Surprises in Quantum State Preparation
APS Physics via YouTube
Mathematical Frameworks for Signal and Image Analysis - Diffusion Methods in Manifold and Fibre Bundle Learning
Joint Mathematics Meetings via YouTube
Quantifying the Topology of Coma
Institute for Pure & Applied Mathematics (IPAM) via YouTube
Reconstructing Manifolds by Weighted L_1-Norm Minimization
Applied Algebraic Topology Network via YouTube
Demystifying Latschev's Theorem for Manifold Reconstruction
Applied Algebraic Topology Network via YouTube