Lecture 11.1: Classification - I
Outline of this Lecture:
1. Basics - background
2. Nearest neighbor(NN) classifier
3. Maximum margin classifier
4. Support vector machine
Classification
Classification - Computer vision
Object Recognition
Image Classification - ImageNet
Dataset split
Learning phases
Features
The machine learning framework
Classification
