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020			_a9789811594922
024	7		_a10.1007/978-981-15-9492-2 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _erda _dES-MaUEC
050		4	_aQ325.5 _b2021 EB
245	0	0	_aMachine Learning for Intelligent Multimedia Analytics : _bTechniques and Applications _cedited by Pardeep Kumar, Amit Kumar Singh.
250			_aFirst edition 2021
264		1	_aSingapore _bSpringer International Pulishing _c2021
300			_a1 recurso en línea (XIV, 335 páginas) _b137 ilustraciones, 96 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_atext file _bPDF _2
490	0		_aStudies in Big Data _x2197-6503 _v82
490	0		_aIntelligent Technologies and Robotics (SpringerNature-42732)
490	0		_aIntelligent Technologies and Robotics (R0) (SpringerNature-43728)
505	0		_aChapter 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.
520	3		_aThis 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.
988			_aSpringer_Robotics_2021
650		7	_2embne _aAprendizaje automático _9166090
700	1		_aKumar, Pardeep _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aSingh, Amit Kumar _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
776	0	8	_iPrinted edition: _z9789811594915
776	0	8	_iPrinted edition: _z9789811594939
776	0	8	_iPrinted edition: _z9789811594946
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-15-9492-2 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE _n0