Pattern Analysis 2016 (HD 1280) Dr. Christian Riess
-
- Education
This lecture complements (and builds on top of) the lectures "Introduction to Pattern Recognition" and "Pattern Recognition". In this third edition, we focus on modeling of densities, and how to use these models for analyzing the data. Major topics of this lecture are regression, density estimation, manifold learning, hidden Markov models, conditional random fields, and random forests. The lecture is accompanied by exercises, where theoretical results are practically implemented and applied.
Top Podcasts In Education
More by Friedrich-Alexander-Universität Erlangen-Nürnberg
ASC - Advanced Signal Processing and Communications Engineering (QHD 1920)
Friedrich-Alexander-Universität Erlangen-Nürnberg
Modern Optics 3: Quantum Optics 2019/2020 (QHD 1920)
Prof. Dr. Maria Chekhova
Lectures on Quantum Theory (Elite Graduate Programme) 2015 -Measurements (HD 1280)
Dr. Frederic P. Schuller
Foundations of Quantum Mechanics 2013 (SD 640)
Prof. Dr. Florian Marquardt
Quantum Computing 2019/2020 (QHD 1920)
Prof. Dr. Michael J. Hartmann
Deep Learning - Plain Version 2020 (QHD 1920)
Prof. Dr. Andreas Maier