Autonomy Bookshelf

Machine Learning

Computer Vision

Statistics

Unsupervised Data

A goal of processing large amounts of unsupervised (i.e. unlabelled) data is to be able to find relationships between and group points without knowing how they are distributed originally.

A mixture model is the grouping of points. As with all models, the resulting model can be a very good representation or be completely off.

There are several algorithms:

Belief Update

Log odds make it easier to operate with odds by making the odds symmetric on both sides: https://towardsdatascience.com/https-towardsdatascience-com-what-and-why-of-log-odds-64ba988bf704

Video encoding

H.264

The theory behind video encoding: H.264 is magic: a technical walkthrough of a remarkable technology.

Gstreamer: A Guide to H.264 Streaming with Regards to FRC