Bayes Classifier | Pattern classification - Solved Example | Computer Vision
In this video, you will understand the various topics related to Bayes Classifier and how it is used in pattern vector classification. I have taken 3D pattern class vectors to explain the concept in depth. Broadly the contents are as follows:
1. What is Bayes classifier?
2. How Bayes theorem is related to Bayes Classifier?
3. Assumptions in using Bayes Classifier
4. 3D representation of pattern vector classes
5. Why covariance matrices are used?
6. How to calculate the covariance matrices
7. How to calculate the decision boundary using bayes classifier?
8. How to use the bayes classifier for 3D pattern vector classification
Chapters in the video:
0:00 Introduction
0:28 Problem Statement
2:12 What is Bayes Classifier
3:46 What is Bayes Theorem
7:25 Assumptions
12:22 3D representation
13:13 Covariance matrices
20:33 Decision Boundary
24:50 Classification
26:33 Conclusion
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