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{ "item_title" : "Processing, Analyzing and Learning of Images, Shapes, and Forms", "item_author" : [" Ron Kimmel", "Xue-Cheng Tai "], "item_description" : "Processing, Analyzing and Learning of Images, Shapes, and Forms: Part 2, Volume 20, surveys the contemporary developments relating to the analysis and learning of images, shapes and forms, covering mathematical models and quick computational techniques. Chapter cover Alternating Diffusion: A Geometric Approach for Sensor Fusion, Generating Structured TV-based Priors and Associated Primal-dual Methods, Graph-based Optimization Approaches for Machine Learning, Uncertainty Quantification and Networks, Extrinsic Shape Analysis from Boundary Representations, Efficient Numerical Methods for Gradient Flows and Phase-field Models, Recent Advances in Denoising of Manifold-Valued Images, Optimal Registration of Images, Surfaces and Shapes, and much more. ", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/0/44/464/140/0444641408_b.jpg", "price_data" : { "retail_price" : "230.00", "online_price" : "230.00", "our_price" : "230.00", "club_price" : "230.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Processing, Analyzing and Learning of Images, Shapes, and Forms|Ron Kimmel

Processing, Analyzing and Learning of Images, Shapes, and Forms : Part 2: Volume 20

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Overview

Processing, Analyzing and Learning of Images, Shapes, and Forms: Part 2, Volume 20, surveys the contemporary developments relating to the analysis and learning of images, shapes and forms, covering mathematical models and quick computational techniques. Chapter cover Alternating Diffusion: A Geometric Approach for Sensor Fusion, Generating Structured TV-based Priors and Associated Primal-dual Methods, Graph-based Optimization Approaches for Machine Learning, Uncertainty Quantification and Networks, Extrinsic Shape Analysis from Boundary Representations, Efficient Numerical Methods for Gradient Flows and Phase-field Models, Recent Advances in Denoising of Manifold-Valued Images, Optimal Registration of Images, Surfaces and Shapes, and much more.

This item is Non-Returnable

Details

  • ISBN-13: 9780444641403
  • ISBN-10: 0444641408
  • Publisher: North-Holland
  • Publish Date: October 2019
  • Dimensions: 9 x 6 x 1.5 inches
  • Shipping Weight: 2.44 pounds
  • Page Count: 706

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