Pattern Analysis 2017 (Audio) Dr. Christian Riess
-
- 教育
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.
教育のトップPodcast
Friedrich-Alexander-Universität Erlangen-Nürnbergのその他の作品
Quantum Computing 2019/2020 (QHD 1920)
Prof. Dr. Michael J. Hartmann
Grundkurs Strafrecht AT I 2013/2014 (Audio)
Prof. Dr. Hans Kudlich
IKGF Lecture Series 2017 (HD 1280 - Video & Folien)
Friedrich-Alexander-Universität Erlangen-Nürnberg
IKGF Video Documentaries (HD 1280)
Friedrich-Alexander-Universität Erlangen-Nürnberg
Lectures on Quantum Theory (Elite Graduate Programme) 2015 -Measurements (HD 1280)
Dr. Frederic P. Schuller
AG Mathematics of Deep Learning (QHD 1920)
Dr. Daniel Tenbrinck