{
"item_title" : "Computational Intelligence in Multi-Feature Visual Pattern Recognition",
"item_author" : [" Pramod Kumar Pisharady", "Prahlad Vadakkepat", "Loh Ai Poh "],
"item_description" : "Part I Computational Intelligence in Visual Pattern Recognition.- 1 Visual Pattern Recognition.- 2 Computational Intelligence Techniques.- 3 Multi-Feature Pattern Recognition.- Part II Feature Selection and Classification.- 4 Fuzzy-Rough Discriminative Feature Selection and Classification.- 5 Hand Posture and Face Recognition using Fuzzy-Rough Approach.- 6 Boosting based Fuzzy-Rough Pattern Classifier.- Part III Biologically Inspired Approaches in Hand Posture Recognition.- 7 Hand Posture Recognition using Neurobiologically Inspired Features.- 8 Attention based Segmentation and Recognition (ASR) Algorithm for Hand Postures Against Complex Backgrounds.- Appendices.- Index.",
"item_img_path" : "https://covers4.booksamillion.com/covers/bam/9/81/101/171/9811011710_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 in Multi-Feature Visual Pattern Recognition : Hand Posture and Face Recognition Using Biologically Inspired Approaches
Overview
Part I Computational Intelligence in Visual Pattern Recognition.- 1 Visual Pattern Recognition.- 2 Computational Intelligence Techniques.- 3 Multi-Feature Pattern Recognition.- Part II Feature Selection and Classification.- 4 Fuzzy-Rough Discriminative Feature Selection and Classification.- 5 Hand Posture and Face Recognition using Fuzzy-Rough Approach.- 6 Boosting based Fuzzy-Rough Pattern Classifier.- Part III Biologically Inspired Approaches in Hand Posture Recognition.- 7 Hand Posture Recognition using Neurobiologically Inspired Features.- 8 Attention based Segmentation and Recognition (ASR) Algorithm for Hand Postures Against Complex Backgrounds.- Appendices.- Index.
This item is Non-Returnable
Customers Also Bought
Details
- ISBN-13: 9789811011719
- ISBN-10: 9811011710
- Publisher: Springer
- Publish Date: September 2016
- Dimensions: 9.21 x 6.14 x 0.33 inches
- Shipping Weight: 0.5 pounds
- Page Count: 138
Related Categories
