The Pyramid Match Kernel: Efficient Learning with Sets of Features

Posted in Science on July 28, 2008


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

Watch Video

Tags: Science, Lectures, Computer Science, Machine Learning, VideoLectures.Net, Kernel Methods