The Pyramid Match Kernel: Efficient Learning with Sets of Features
Lecture slides:
- Global (vector) representations
- Real world challenges
- Sets of local features
- Sets of features in vision
- Sets of features
- Problem
- Existing set kernels
- Partial matching for sets of features
- Pyramid match kernel
- Pyramid match overview
- Feature extraction
- Counting matches
- Counting new matches
- Pyramid match kernel
- Efficiency
- Example pyramid match
- Point sets with 5 to 100 points
- Learning with the pyramid match
- Object recognition results
- Object recognition
- Regression for pose
- Regression for publication time
Author: Kristen Grauman, University of Texas