Deep Learning in Biometrics

✍ Scribed by Mayank Vatsa, Richa Singh, Angshul Majumdar

Publisher: CRC Press
Year: 2018
Tongue: English
Leaves: 329
Edition: 1
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

Deep Learning is now synonymous with applied machine learning. Many technology giants (e.g. Google, Microsoft, Apple, IBM) as well as start-ups are focusing on deep learning-based techniques for data analytics and artificial intelligence. This technology applies quite strongly to biometrics. This book covers topics in deep learning, namely convolutional neural networks, deep belief network and stacked autoencoders. The focus is also on the application of these techniques to various biometric modalities: face, iris, palmprint, and fingerprints, while examining the future trends in deep learning and biometric research.

✦ Subjects

Machine Theory;AI & Machine Learning;Computer Science;Computers & Technology;Data Mining;Databases & Big Data;Computers & Technology;Imaging Systems;Computer Modelling;Engineering;Engineering & Transportation;Database Storage & Design;Computer Science;New, Used & Rental Textbooks;Specialty Boutique

📜 SIMILAR VOLUMES

Deep learning for biometrics

📁 Deep learning for biometrics

✍ Bhanu, Bir; Kumar, Ajay 📂 Library 📅 2017 🏛 Springer 🌐 English

This timely text/reference presents a broad overview of advanced deep learning architectures for learning effective feature representation for perceptual and biometrics-related tasks. The text offers a showcase of cutting-edge research on the use of convolutional neural networks (CNN) in face, iris,

AI and Deep Learning in Biometric Securi

📁 AI and Deep Learning in Biometric Security: Trends, Potential, and Challenges

✍ Gaurav Jaswal, Vivek Kanhangad, Raghavendra Ramachandra 📂 Library 📅 2020 🌐 English

Deep Learning for Biomedical Application

📁 Deep Learning for Biomedical Applications

✍ Utku Kose, Omer Deperlioglu, D. Jude Hemanth 📂 Library 📅 2021 🏛 CRC Press 🌐 English

This book is a detailed reference on biomedical applications using Deep Learning. Because Deep Learning is an important actor shaping the future of Artificial Intelligence, its specific and innovative solutions for both medical and biomedical are very critical. This book provides a recent view of re

Deep Learning, Machine Learning and IoT

📁 Deep Learning, Machine Learning and IoT in Biomedical and Health Informatics: Techniques and Applications (Biomedical Engineering)

✍ Sujata Dash (editor), Subhendu Kumar Pani (editor), Joel Jose P. Coelho Rodrigue 📂 Library 📅 2022 🏛 CRC Press 🌐 English

Biomedical and Health Informatics is an important field that brings tremendous opportunities and helps address challenges due to an abundance of available biomedical data. This book examines and demonstrates state-of-the-art approaches for IOT and Machine Learning based biomedical and healt

Handbook of Deep Learning in Biomedical

📁 Handbook of Deep Learning in Biomedical Engineering and Health Informatics

✍ E. Golden Julie (editor), Y. Harold Robinson (editor), S. M. Jaisakthi (editor) 📂 Library 📅 2021 🏛 Apple Academic Press 🌐 English

This new volume discusses state-of-the-art deep learning techniques and approaches that can be applied in biomedical systems and health informatics. Deep learning in the biomedical field is an effective method of collecting and analyzing data that can be used for the accurate diagnosis of disease

Handbook of Deep Learning in Biomedical

📁 Handbook of Deep Learning in Biomedical Engineering: Techniques and Applications

✍ Valentina E. Balas (editor), Brojo Kishore Mishra (editor), Raghvendra Kumar (ed 📂 Library 📅 2020 🏛 Academic Press 🌐 English

Deep learning (DL) is a method of machine learning, running over artificial neural networks, that uses multiple layers to extract high-level features from large amounts of raw data. DL methods apply levels of learning to transform input data into more abstract and composite information. Handbo