Hybrid Intelligent Techniques for Pattern Analysis and Understanding
Hybrid Intelligent Techniques for Pattern Analysis and Understanding outlines the latest research on the development and application of synergistic approaches to pattern analysis in real-world'scenarios.

An invaluable resource for lecturers, researchers, and graduates students in computer science and engineering, this book covers a diverse range of hybrid intelligent techniques, including image segmentation, character recognition, human behavioral analysis, hyperspectral data processing, and medical image analysis.

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Hybrid Intelligent Techniques for Pattern Analysis and Understanding
Hybrid Intelligent Techniques for Pattern Analysis and Understanding outlines the latest research on the development and application of synergistic approaches to pattern analysis in real-world'scenarios.

An invaluable resource for lecturers, researchers, and graduates students in computer science and engineering, this book covers a diverse range of hybrid intelligent techniques, including image segmentation, character recognition, human behavioral analysis, hyperspectral data processing, and medical image analysis.

230.0 In Stock
Hybrid Intelligent Techniques for Pattern Analysis and Understanding

Hybrid Intelligent Techniques for Pattern Analysis and Understanding

Hybrid Intelligent Techniques for Pattern Analysis and Understanding

Hybrid Intelligent Techniques for Pattern Analysis and Understanding

Hardcover

$230.00 
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Overview

Hybrid Intelligent Techniques for Pattern Analysis and Understanding outlines the latest research on the development and application of synergistic approaches to pattern analysis in real-world'scenarios.

An invaluable resource for lecturers, researchers, and graduates students in computer science and engineering, this book covers a diverse range of hybrid intelligent techniques, including image segmentation, character recognition, human behavioral analysis, hyperspectral data processing, and medical image analysis.


Product Details

ISBN-13: 9781498769358
Publisher: Taylor & Francis
Publication date: 10/26/2017
Pages: 392
Product dimensions: 7.00(w) x 10.00(h) x (d)

About the Author

Anirban Mukherjee, Siddhartha Bhattacharyya, Indrajit Pan, Paramartha Dutta, Arup Kumar Bhaumik

Table of Contents

1 Offline Writer Veri_cation Based on Bangla Handwritten Characters Using Enhanced Textual Feature

Jaya Paul, Anasua Sarkar, Chayan Halder, and Kaushik Roy

2 Hybrid Intelligence Techniques for Handwritten Digit Recognition

Hemant Jain, Ryan Serrao, and B.K. Tripathy

3 Artificial Immune Recognition System for Offline Handwritten Signature Verification

Yasmine Serdouk, Hassiba Nemmour, and Youcef Chibani

4 Parametric Object Detection Using Estimation of Distribution Algorithms

Ivan Cruz-Aceves, Jesus Guerrero-Turrubiates, and Juan Manuel Sierra-Hernandez

5 Hybrid Approach towards Malaria Parasites Detection from Thin Blood Smear Image

Sanjay Nag, Nabanita Basu, and Samir Kumar Bandyopadhyay

6 Noise Removal Techniques in Medical Images

Ranjit Biswas and Sudipta Roy

7 Face Recognition–Oriented Biometric Security System

Geetika Singh and Indu Chhabra

8 Optimization of Hand Motion Recognition System Based on 2D HMM Approach Using ABC Algorithm

K. Martin Sagayam, D. Jude Hemanth, Yadav Nitesh Ramprasad, and Raghav Menon

9 Smart Visual Surveillance Technique for Better Crime Management

Narendra Rao T. J. and Jeny Rajan

10 Watershed Image Analysis Using a PSO-CA Hybrid Approach

Kalyan Mahata, Rajib Das, Subhasish Das, and Anasua Sarkar

11 An Analysis of Brain MRI Segmentation

Tuhin Utsab Paul and Samir Kumar Bandhyopadhyay

12 Haralick's Texture Descriptors for Classification of Renal Ultrasound Images

Komal Sharma and Jitendra Virmani

13 A Self-Organizing Map-Based Spectral Clustering on Shortest Path of a Graph

Parthajit Roy, Swati Adhikari, and J. K. Mandal

14 Quantum Algorithm for Sequence Clustering

Arit Kumar Bishwas, Ashish Mani, and Vasile Palade

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