Bhattacharyya, Siddhartha,
Hybrid Intelligent Techniques for Pattern Analysis and Understanding / editors, Anirban Mukherjee, Indrajit Pan. - First edition. - 1 online resource
chapter 1 one Writer Verification Based on Bangla Handwritten Characters Using Enhanced Textual Feature / chapter 2 Hybrid Intelligence Techniques for Handwritten Digit Recognition / chapter 3 Artificial Immune Recognition System for Online Handwritten Signature Verification / chapter 4 Parametric Object Detection Using Estimation of Distribution Algorithms / chapter 5 Hybrid Approach towards Malaria Parasites Detection from Thin Blood Smear Image / chapter 6 Noise Removal Techniques in Medical Images / chapter 7 Face Recognition-Oriented Biometric Security System / chapter 8 Optimization of Hand Motion Recognition System Based on 2D HMM Approach Using ABC Algorithm / chapter 9 Smart Visual Surveillance Technique for Better Crime Management / chapter 10 Watershed Image Analysis Using a PSO-CA Hybrid Approach / chapter 11 An Analysis of Brain MRI Segmentation / chapter 12 Haralick's Texture Descriptors for Classification of Renal Ultrasound Images / chapter 13 A Self-Organizing Map-Based Spectral Clustering on Shortest Path of a Graph / chapter 14 Quantum Algorithm for Sequence Clustering / Jaya Paul -- Hemant Jain, Ryan Serrao, and B.K. Tripathy -- Yasmine Serdouk -- Ivan Cruz-Aceves -- Sanjay Nag -- Ranjit Biswas -- Geetika Singh -- K. Martin Sagayam -- Narendra Rao T. J. and Jeny Rajan -- Kalyan Mahata -- Tuhin Utsab Paul -- Komal Sharma -- Parthajit Roy -- Arit Kumar Bishwas.
"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."--Provided by publisher.
9781315154152
10.1201/9781315154152 doi
Optical pattern recognition--Industrial applications.
Image analysis.
COMPUTERS--General.
Computation
COMPUTERSCIENCEnetBASE
ElectricalEngineeringnetBASE
ENGnetBASE
INFORMATIONSCIENCEnetBASE
Intelligent Systems
ITECHnetBASE
SCI-TECHnetBASE
STMnetBASE
TA1640 / .B438 2017
006.42
Hybrid Intelligent Techniques for Pattern Analysis and Understanding / editors, Anirban Mukherjee, Indrajit Pan. - First edition. - 1 online resource
chapter 1 one Writer Verification Based on Bangla Handwritten Characters Using Enhanced Textual Feature / chapter 2 Hybrid Intelligence Techniques for Handwritten Digit Recognition / chapter 3 Artificial Immune Recognition System for Online Handwritten Signature Verification / chapter 4 Parametric Object Detection Using Estimation of Distribution Algorithms / chapter 5 Hybrid Approach towards Malaria Parasites Detection from Thin Blood Smear Image / chapter 6 Noise Removal Techniques in Medical Images / chapter 7 Face Recognition-Oriented Biometric Security System / chapter 8 Optimization of Hand Motion Recognition System Based on 2D HMM Approach Using ABC Algorithm / chapter 9 Smart Visual Surveillance Technique for Better Crime Management / chapter 10 Watershed Image Analysis Using a PSO-CA Hybrid Approach / chapter 11 An Analysis of Brain MRI Segmentation / chapter 12 Haralick's Texture Descriptors for Classification of Renal Ultrasound Images / chapter 13 A Self-Organizing Map-Based Spectral Clustering on Shortest Path of a Graph / chapter 14 Quantum Algorithm for Sequence Clustering / Jaya Paul -- Hemant Jain, Ryan Serrao, and B.K. Tripathy -- Yasmine Serdouk -- Ivan Cruz-Aceves -- Sanjay Nag -- Ranjit Biswas -- Geetika Singh -- K. Martin Sagayam -- Narendra Rao T. J. and Jeny Rajan -- Kalyan Mahata -- Tuhin Utsab Paul -- Komal Sharma -- Parthajit Roy -- Arit Kumar Bishwas.
"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."--Provided by publisher.
9781315154152
10.1201/9781315154152 doi
Optical pattern recognition--Industrial applications.
Image analysis.
COMPUTERS--General.
Computation
COMPUTERSCIENCEnetBASE
ElectricalEngineeringnetBASE
ENGnetBASE
INFORMATIONSCIENCEnetBASE
Intelligent Systems
ITECHnetBASE
SCI-TECHnetBASE
STMnetBASE
TA1640 / .B438 2017
006.42