I See Dead Code

For one of the exercises, we had to implement the EM algorithm for Gaussian Mixture Models. I’ve spent a considerable amount of time on my solutions, either because I wanted to learn a new language (Scala version) or I wanted to not forgot an old one (C++ version), so I don’t want the code simply [...]

[Read more →]

While learning for the exam of this semester’s Pattern & Speech Recognition course by Prof. Klakow (highly, highly recommended), we (a couple of people, look for the names in the document itself) put together a summary with a couple a topics from the course.
Topics

Feature Extraction from Sound
Bayesian Decision Theory
Maximum Likelihood Estimation
Nonparametric Techniques
Gaussian Mixture Models
Decision Trees

The [...]

[Read more →]