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{ "item_title" : "Computational Intelligence Paradigms in Advanced Pattern Classification", "item_author" : [" Marek R. Ogiela", "Lakhmi C. Jain "], "item_description" : "Recent Advances in Pattern Classification.- Neural Networks for Handwriting Recognition.- Moving object detection from mobile platforms using stereo data registration.- Pattern Classifications in Cognitive Informatics.- Optimal Differential Filter on Hexagonal Lattice.- Graph image language techniques supporting advanced classification and cognitive interpretation of CT coronary vessel visualizations.- A graph matching approach to symmetry detection and analysis.- Pattern classification methods for analysis and visualization of brain perfusion CT maps.- Inference of co-occurring classes: Multi-class and multi-label classification.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/3/66/250/710/3662507102_b.jpg", "price_data" : { "retail_price" : "109.99", "online_price" : "109.99", "our_price" : "109.99", "club_price" : "109.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Computational Intelligence Paradigms in Advanced Pattern Classification|Marek R. Ogiela

Computational Intelligence Paradigms in Advanced Pattern Classification

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Overview

Recent Advances in Pattern Classification.- Neural Networks for Handwriting Recognition.- Moving object detection from mobile platforms using stereo data registration.- Pattern Classifications in Cognitive Informatics.- Optimal Differential Filter on Hexagonal Lattice.- Graph image language techniques supporting advanced classification and cognitive interpretation of CT coronary vessel visualizations.- A graph matching approach to symmetry detection and analysis.- Pattern classification methods for analysis and visualization of brain perfusion CT maps.- Inference of co-occurring classes: Multi-class and multi-label classification.

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Details

  • ISBN-13: 9783662507100
  • ISBN-10: 3662507102
  • Publisher: Springer
  • Publish Date: August 2016
  • Dimensions: 9.21 x 6.14 x 0.45 inches
  • Shipping Weight: 0.67 pounds
  • Page Count: 199

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