Support Vector Machines for Pattern Classification (Advances in Computer Vision and Pattern Recognition)

Shigeo Abe ★ 3.2/5 · ItemOracle Score Premium

$153 USD
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Support Vector Machines for Pattern Classification (Advances in Computer Vision and Pattern Recognition)

A book introducing SVMs for pattern classification in computer vision. Explains theory and applications with formal methods. Customer insight notes mixed/positive sentiment about content depth

Highlights

  • svm-centric methodology
  • pattern classification focus
  • computer vision context

Pros

  • clear focus on SVMs for pattern classification
  • theoretical and practical guidance
  • aligned with computer vision & pattern recognition

Cons

  • features not provided
  • customer insights show mixed feedback

Best For

  • machine learning coursework
  • research reference for SVM methods
  • pattern recognition project planning
  • academic study in computer vision
  • theory-practice bridging for students

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