Linear SVM Classification of Visual Objects using a Dense Image Representation

Posted in Science on August 11, 2008


Linear SVM Classification of Visual Objects using a Dense Image Representation

Lecture slides:

  • Overview
  • Codebook construction
  • Overview
  • Linear SVM Classification of Visual Objects using a Dense Image Representation
  • Image representation
  • Dimensionality reduction
  • Image classification
  • Keypoint : Clustering the feature space
  • Facing unbalanced densities
  • Experiments with the PASCAL dataset (test1 only)
  • Bicycles
  • Cars
  • Motorbikes
  • Persons
  • cars
  • Bikes
  • Motorbikes
  • People
  • Comments on the results
  • Conclusions
  • Suggestion for next competitions

Author: Frederic Jurie, Institut National de Recherche en Informatique et en Automatique

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