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Applied graph theory in computer vision and pattern recognition

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  • 266 Seiten
  • 10 Lesestunden

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This book presents novel graph-theoretic methods for complex computer vision and pattern recognition tasks. It presents the application of graph theory to low-level processing of digital images, presents graph-theoretic learning algorithms for high-level computer vision and pattern recognition applications, and provides detailed descriptions of several applications of graph-based methods to real-world pattern recognition tasks.

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Applied graph theory in computer vision and pattern recognition, Abraham Kandel

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Erscheinungsdatum
2007
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(Hardcover)
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