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portada Machine Learning for Intelligent Multimedia Analytics: Techniques and Applications
Type
Physical Book
Publisher
Author
Language
English
Pages
335
Format
Paperback
Dimensions
23.4 x 15.6 x 1.9 cm
Weight
0.49 kg.
ISBN13
9789811594946
Categories

Machine Learning for Intelligent Multimedia Analytics: Techniques and Applications

Kumar, Pardeep ; Singh, Amit Kumar (Author) · Springer · Paperback

Machine Learning for Intelligent Multimedia Analytics: Techniques and Applications - Kumar, Pardeep ; Singh, Amit Kumar

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Synopsis "Machine Learning for Intelligent Multimedia Analytics: Techniques and Applications"

Chapter 1. Secure Multimodal Access with 2D and 3D Ears.- Chapter 2. Efficient and Low Overhead Detection of Brain Diseases using Deep Learning based Sparse MRI Image Classification.- Chapter 3. Continual Deep Learning Framework for Medical Media Screening and Archival.- Chapter 4. KannadaRes-NeXt: a Deep Residual Network for Kannada Numeral Recognition.- Chapter 5. Secure Image Transmission in Wireless Network using Conventional Neural Network and DOST.- Chapter 6. Robust General Twin Support Vector Machine with Pinball Loss Function.- Chapter 7. Noise Resilient Thresholding based on Fuzzy Logic and Non-linear Filtering.- Chapter 8. Deep Learning Methods for Audio Events Detection.- Chapter 9. A Framework for Multi-lingual Scene Text Detection using K-means++ and Memetic Algorithms.- Chapter 10. Recent Advancements in Medical Imaging: A Machine Learning Approach.- Chapter 11. Solving Image Processing Critical Problems using Machine Learning.- Chapter 12. Spoken Language Identification of Indian Languages using MFCC Features.- Chapter 13. Performance Evaluation of One-Class Classifiers (OCC) for Damage Detection in Structural Health Monitoring.- Chapter 14. Brain Tumor Classification in MRI Images using Transfer Learning.- Chapter 15. Semantic based Vectorization Technique for Hindi Language.

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