語系:
繁體中文
English
說明(常見問題)
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Data Science = Theory, Algorithms, a...
~
Soni, Badal.
Data Science = Theory, Algorithms, and Applications /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Data Science/ edited by Gyanendra K. Verma, Badal Soni, Salah Bourennane, Alexandre C. B. Ramos.
其他題名:
Theory, Algorithms, and Applications /
其他作者:
Ramos, Alexandre C. B.
面頁冊數:
XXVII, 437 p. 239 illus., 166 illus. in color.online resource. :
Contained By:
Springer Nature eBook
標題:
Multimedia Information Systems. -
電子資源:
https://doi.org/10.1007/978-981-16-1681-5
ISBN:
9789811616815
Data Science = Theory, Algorithms, and Applications /
Data Science
Theory, Algorithms, and Applications /[electronic resource] :edited by Gyanendra K. Verma, Badal Soni, Salah Bourennane, Alexandre C. B. Ramos. - 1st ed. 2021. - XXVII, 437 p. 239 illus., 166 illus. in color.online resource. - Transactions on Computer Systems and Networks,2730-7492. - Transactions on Computer Systems and Networks,.
A Deep Learning Technique for Real-Time Active Car Tracking with Quadrotor Luiz Gustavo Miranda Pinto, Wander Mendes Martins and Alexandre Carlos Brandão Ramos (Federal University of Itajuba – Unifei, Brazil) -- On fusion of NIR and VW information for cross-spectral iris matching Ritesh Vyas, Tirupathiraju Kanumuri, Gyanendra Sheoran and Pawan Dubey (National Institute of Technology Delhi, Delhi, India) -- Spark Enhanced Framework for Medical Phrase Embedding using Deep Neural Network Amol Bhopale and Ashish Tiwari (Visvesvaraya National Institute of Technology, Nagpur, India) -- Performance Analysis of big.LITTLE System with various Branch Prediction Schemes Froila Rodrigues and Nitesh Guinde (Goa College of Engineering, Farmagudi, Ponda , GoaIndia) -- Two-stage Credit Scoring Model based on Evolutionary Feature Selection and Ensemble Neural Networks Diwakar Tripathi, Damodar Reddy Edla, Annushri Bablani and Venkatanareshbabu Kuppili (Madanapalle Institute of Technology & Science, Madanapalle, A.P., India) -- Image Processing and Deep Learning for Drone Autonomous Indoor Flight Pedro Lucas de Brito, Wander Mendes Martins and Alexandre Carlos Brandão Ramos Federal University of Itajuba – Unifei, Brazil) -- Sensitivity Analysis of Multi Objective Fractional Programming using Genetic Algorithm Debasish Roy (IIT, Kharagpur, India).
This book targets an audience with a basic understanding of deep learning, its architectures, and its application in the multimedia domain. Background in machine learning is helpful in exploring various aspects of deep learning. Deep learning models have a major impact on multimedia research and raised the performance bar substantially in many of the standard evaluations. Moreover, new multi-modal challenges are tackled, which older systems would not have been able to handle. However, it is very difficult to comprehend, let alone guide, the process of learning in deep neural networks, there is an air of uncertainty about exactly what and how these networks learn. By the end of the book, the readers will have an understanding of different deep learning approaches, models, pre-trained models, and familiarity with the implementation of various deep learning algorithms using various frameworks and libraries.
ISBN: 9789811616815
Standard No.: 10.1007/978-981-16-1681-5doiSubjects--Topical Terms:
669810
Multimedia Information Systems.
LC Class. No.: Q325.5-.7
Dewey Class. No.: 006.31
Data Science = Theory, Algorithms, and Applications /
LDR
:03776nam a22004215i 4500
001
1048287
003
DE-He213
005
20210819150351.0
007
cr nn 008mamaa
008
220103s2021 si | s |||| 0|eng d
020
$a
9789811616815
$9
978-981-16-1681-5
024
7
$a
10.1007/978-981-16-1681-5
$2
doi
035
$a
978-981-16-1681-5
050
4
$a
Q325.5-.7
050
4
$a
TK7882.P3
072
7
$a
UYQM
$2
bicssc
072
7
$a
COM004000
$2
bisacsh
072
7
$a
UYQM
$2
thema
082
0 4
$a
006.31
$2
23
245
1 0
$a
Data Science
$h
[electronic resource] :
$b
Theory, Algorithms, and Applications /
$c
edited by Gyanendra K. Verma, Badal Soni, Salah Bourennane, Alexandre C. B. Ramos.
250
$a
1st ed. 2021.
264
1
$a
Singapore :
$b
Springer Singapore :
$b
Imprint: Springer,
$c
2021.
300
$a
XXVII, 437 p. 239 illus., 166 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
Transactions on Computer Systems and Networks,
$x
2730-7492
505
0
$a
A Deep Learning Technique for Real-Time Active Car Tracking with Quadrotor Luiz Gustavo Miranda Pinto, Wander Mendes Martins and Alexandre Carlos Brandão Ramos (Federal University of Itajuba – Unifei, Brazil) -- On fusion of NIR and VW information for cross-spectral iris matching Ritesh Vyas, Tirupathiraju Kanumuri, Gyanendra Sheoran and Pawan Dubey (National Institute of Technology Delhi, Delhi, India) -- Spark Enhanced Framework for Medical Phrase Embedding using Deep Neural Network Amol Bhopale and Ashish Tiwari (Visvesvaraya National Institute of Technology, Nagpur, India) -- Performance Analysis of big.LITTLE System with various Branch Prediction Schemes Froila Rodrigues and Nitesh Guinde (Goa College of Engineering, Farmagudi, Ponda , GoaIndia) -- Two-stage Credit Scoring Model based on Evolutionary Feature Selection and Ensemble Neural Networks Diwakar Tripathi, Damodar Reddy Edla, Annushri Bablani and Venkatanareshbabu Kuppili (Madanapalle Institute of Technology & Science, Madanapalle, A.P., India) -- Image Processing and Deep Learning for Drone Autonomous Indoor Flight Pedro Lucas de Brito, Wander Mendes Martins and Alexandre Carlos Brandão Ramos Federal University of Itajuba – Unifei, Brazil) -- Sensitivity Analysis of Multi Objective Fractional Programming using Genetic Algorithm Debasish Roy (IIT, Kharagpur, India).
520
$a
This book targets an audience with a basic understanding of deep learning, its architectures, and its application in the multimedia domain. Background in machine learning is helpful in exploring various aspects of deep learning. Deep learning models have a major impact on multimedia research and raised the performance bar substantially in many of the standard evaluations. Moreover, new multi-modal challenges are tackled, which older systems would not have been able to handle. However, it is very difficult to comprehend, let alone guide, the process of learning in deep neural networks, there is an air of uncertainty about exactly what and how these networks learn. By the end of the book, the readers will have an understanding of different deep learning approaches, models, pre-trained models, and familiarity with the implementation of various deep learning algorithms using various frameworks and libraries.
650
2 4
$a
Multimedia Information Systems.
$3
669810
650
2 4
$a
Artificial Intelligence.
$3
646849
650
1 4
$a
Machine Learning.
$3
1137723
650
0
$a
Multimedia information systems.
$3
1115395
650
0
$a
Artificial intelligence.
$3
559380
650
0
$a
Machine learning.
$3
561253
700
1
$a
Ramos, Alexandre C. B.
$e
editor.
$4
edt
$4
http://id.loc.gov/vocabulary/relators/edt
$3
1352113
700
1
$a
Bourennane, Salah.
$e
editor.
$4
edt
$4
http://id.loc.gov/vocabulary/relators/edt
$3
1352112
700
1
$a
Soni, Badal.
$e
editor.
$1
https://orcid.org/0000-0002-9617-9468
$4
edt
$4
http://id.loc.gov/vocabulary/relators/edt
$3
1313510
700
1
$a
Verma, Gyanendra K.
$e
editor.
$1
https://orcid.org/0000-0003-2567-3730
$4
edt
$4
http://id.loc.gov/vocabulary/relators/edt
$3
1352111
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer Nature eBook
776
0 8
$i
Printed edition:
$z
9789811616808
776
0 8
$i
Printed edition:
$z
9789811616822
776
0 8
$i
Printed edition:
$z
9789811616839
830
0
$a
Transactions on Computer Systems and Networks,
$x
2730-7492
$3
1352114
856
4 0
$u
https://doi.org/10.1007/978-981-16-1681-5
912
$a
ZDB-2-SCS
912
$a
ZDB-2-SXCS
950
$a
Computer Science (SpringerNature-11645)
950
$a
Computer Science (R0) (SpringerNature-43710)
筆 0 讀者評論
多媒體
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼[密碼必須為2種組合(英文和數字)及長度為10碼以上]
登入