Pattern Analysis 2018 (QHD 1920)

Por: Dr. Christian Riess


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.

20 episodios disponibles

Latest episodes of the podcast Pattern Analysis 2018 (QHD 1920)

1 - Pattern Analysis 2018 10/04/2018
2 - Pattern Analysis 2018 12/04/2018
3 - Pattern Analysis 2018 24/04/2018
4 - Pattern Analysis 2018 26/04/2018
5 - Pattern Analysis 2018 03/05/2018
5 - Pattern Analysis 2018 03/05/2018
6 - Pattern Analysis 2018 08/05/2018
7 - Pattern Analysis 2018 17/05/2018
8 - Pattern Analysis 2018 24/05/2018
9 - Pattern Analysis 2018 29/05/2018
10 - Pattern Analysis 2018 05/06/2018
11 - Pattern Analysis 2018 07/06/2018
12 - Pattern Analysis 2018 12/06/2018
13 - Pattern Analysis 2018 14/06/2018
14 - Pattern Analysis 2018 19/06/2018
15 - Pattern Analysis 2018 21/06/2018
16 - Pattern Analysis 2018 26/06/2018
17 - Pattern Analysis 2018 28/06/2018
18 - Pattern Analysis 2018 03/07/2018
19 - Pattern Analysis 2018 05/07/2018
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