國立虎尾科技大學 |

Machine Learning for Intelligent Multimedia Analytics = Techniques and Applications /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Machine Learning for Intelligent Multimedia Analytics/ edited by Pardeep Kumar, Amit Kumar Singh.
其他題名:	Techniques and Applications /
其他作者:	Singh, Amit Kumar.
面頁冊數:	XIV, 335 p. 137 illus., 96 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Multimedia Information Systems. -
電子資源:	https://doi.org/10.1007/978-981-15-9492-2
ISBN:	9789811594922

Machine Learning for Intelligent Multimedia Analytics = Techniques and Applications /
Machine Learning for Intelligent Multimedia AnalyticsTechniques and Applications /[electronic resource] :edited by Pardeep Kumar, Amit Kumar Singh. - 1st ed. 2021. - XIV, 335 p. 137 illus., 96 illus. in color.online resource. - Studies in Big Data,822197-6511 ;. - Studies in Big Data,8.

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.

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.

ISBN: 9789811594922

Standard No.: 10.1007/978-981-15-9492-2doiSubjects--Topical Terms:

669810
Multimedia Information Systems.

LC Class. No.: Q342

Dewey Class. No.: 006.3

Machine Learning for Intelligent Multimedia Analytics = Techniques and Applications /
LDR:03510nam a22004095i 4500 001 1052033
003 DE-He213
005 20210914012345.0
007 cr nn 008mamaa
008 220103s2021 si | s |||| 0|eng d
020 $a 9789811594922 $9 978-981-15-9492-2
024 7 $a 10.1007/978-981-15-9492-2 $2 doi
035 $a 978-981-15-9492-2
050 4 $a Q342
072 7 $a UYQ $2 bicssc
072 7 $a TEC009000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 006.3 $2 23
245 1 0 $a Machine Learning for Intelligent Multimedia Analytics $h [electronic resource] : $b Techniques and Applications / $c edited by Pardeep Kumar, Amit Kumar Singh.
250 $a 1st ed. 2021.
264 1 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2021.
300 $a XIV, 335 p. 137 illus., 96 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Studies in Big Data, $x 2197-6511 ; $v 82
505 0 $a 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.
520 $a 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.
650 2 4 $a Multimedia Information Systems. $3 669810
650 2 4 $a Machine Learning. $3 1137723
650 1 4 $a Computational Intelligence. $3 768837
650 0 $a Multimedia information systems. $3 1115395
650 0 $a Machine learning. $3 561253
650 0 $a Computational intelligence. $3 568984
700 1 $a Singh, Amit Kumar. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1199801
700 1 $a Kumar, Pardeep. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1353924
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9789811594915
776 0 8 $i Printed edition: $z 9789811594939
776 0 8 $i Printed edition: $z 9789811594946
830 0 $a Studies in Big Data, $x 2197-6503 ; $v 8 $3 1256918
856 4 0 $u https://doi.org/10.1007/978-981-15-9492-2
912 $a ZDB-2-INR
912 $a ZDB-2-SXIT
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)
950 $a Intelligent Technologies and Robotics (R0) (SpringerNature-43728)