| Description |
1 online resource |
| Series |
Studies in big data, 2197-6503 ; volume 82 |
|
Studies in big data ; v. 82. 2197-6503
|
| Contents |
Secure Multimodal Access with 2D and 3D Ears -- Efficient and Low Overhead Detection of Brain Diseases Using Deep Learning-Based Sparse MRI Image Classification -- Continual Deep Learning Framework for Medical Media Screening and Archival -- KannadaRes-NeXt: A Deep Residual Network for Kannada Numeral Recognition -- Secure Image Transmission in Wireless Network Using Conventional Neural Network and DOST -- Robust General Twin Support Vector Machine with Pinball Loss Function -- Noise Resilient Thresholding Based on Fuzzy Logic and Non-linear Filtering -- Deep Learning Methods for Audio Events Detection -- A Framework for Multi-lingual Scene Text Detection Using K-means++ and Memetic Algorithms -- Recent Advancements in Medical Imaging: A Machine Learning Approach -- Solving Image Processing Critical Problems Using Machine Learning -- Spoken Language Identification of Indian Languages Using MFCC Features -- Performance Evaluation of One-Class Classifiers (OCC) for Damage Detection in Structural Health Monitoring -- Brain Tumor Classification in MRI Images Using Transfer Learning -- Semantic-Based Vectorization Technique for Hindi Language |
| Summary |
This book presents applications of machine learning techniques in processing multimedia large-scale data. Multimedia such as text, image, audio, video, and graphics stands as one of the most demanding and exciting aspects of the information era. The book discusses new challenges faced by researchers in dealing with these large-scale data and also presents innovative solutions to address several potential research problems, e.g., enabling comprehensive visual classification to fill the semantic gap by exploring large-scale data, offering a promising frontier for detailed multimedia understanding, as well as extract patterns and making effective decisions by analyzing the large collection of data |
| Bibliography |
Includes bibliographical references |
| Notes |
Online resource; title from PDF title page (EBSCO, viewed January 26, 2021) |
| Subject |
Machine learning.
|
|
Multimedia data mining.
|
|
Machine learning
|
|
Multimedia data mining
|
| Form |
Electronic book
|
| Author |
Kumar, Pardeep, 1976- editor.
|
|
Singh, Amit Kumar (Electrical engineer), editor.
|
| ISBN |
9789811594922 |
|
9811594929 |
|
