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Classroom Contents
Computer Vision: Classification and Object Recognition - Lecture 11
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- 1 Intro
- 2 Classification - computer vision
- 3 Object Recognition
- 4 Image classification - ImageNet
- 5 Dataset split
- 6 Features
- 7 The machine learning framework
- 8 Classifiers: Nearest neighbor
- 9 Decision boundary for NN Classifier
- 10 K-nearest neighbor
- 11 Algorithm
- 12 Classifiers: Linear
- 13 Motivation
- 14 Classifier Design
- 15 Maximum Margin
- 16 SVM - background
- 17 Maximal-Margin Classifier
