東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Advances in computer vision = procee...

Computer Vision Conference ((2019 :)

FindBook

Google Book

Amazon

博客來

Advances in computer vision = proceedings of the 2019 Computer Vision Conference (CVC). Volume 1 /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Advances in computer vision/ edited by Kohei Arai, Supriya Kapoor.
其他題名:	proceedings of the 2019 Computer Vision Conference (CVC)
其他作者:	Arai, Kohei.
團體作者:	Computer Vision Conference
出版者:	Cham :Springer International Publishing : : 2020.,
面頁冊數:	xii, 821 p. :ill., digital ;24 cm.
內容註:	Deep Learning for Detection of Railway Signs and Signals -- 3D Conceptual Design using Deep Learning -- The Effect of Color Channel Representations on the Transferability of Convolutional Neural Networks -- Weakly Supervised Deep Metric Learning for Template Matching -- Deep Learning vs. Traditional Computer Vision -- Deep Cross-modal Age Estimation -- No-reference Image Denoising Quality Assessment -- Plant Leaf Disease Detection using Adaptive Neuro-Fuzzy Classification -- Fusion of CNN- and COSFIRE-based Features with Application to Gender Recognition from Face Images -- Learning of Shape Models from Exemplars of Biological Objects in Images -- Researcher Profile Ontology for Academic Environment.
Contained By:	Springer eBooks
標題:	Computer vision - Congresses. -
電子資源:	https://doi.org/10.1007/978-3-030-17795-9
ISBN:	9783030177959

Advances in computer vision = proceedings of the 2019 Computer Vision Conference (CVC). Volume 1 /
Advances in computer visionproceedings of the 2019 Computer Vision Conference (CVC)Volume 1 /[electronic resource] :edited by Kohei Arai, Supriya Kapoor. - Cham :Springer International Publishing :2020. - xii, 821 p. :ill., digital ;24 cm. - Advances in intelligent systems and computing,v.9432194-5357 ;. - Advances in intelligent systems and computing ;v.943..

Deep Learning for Detection of Railway Signs and Signals -- 3D Conceptual Design using Deep Learning -- The Effect of Color Channel Representations on the Transferability of Convolutional Neural Networks -- Weakly Supervised Deep Metric Learning for Template Matching -- Deep Learning vs. Traditional Computer Vision -- Deep Cross-modal Age Estimation -- No-reference Image Denoising Quality Assessment -- Plant Leaf Disease Detection using Adaptive Neuro-Fuzzy Classification -- Fusion of CNN- and COSFIRE-based Features with Application to Gender Recognition from Face Images -- Learning of Shape Models from Exemplars of Biological Objects in Images -- Researcher Profile Ontology for Academic Environment.

This book presents a remarkable collection of chapters covering a wide range of topics in the areas of Computer Vision, both from theoretical and application perspectives. It gathers the proceedings of the Computer Vision Conference (CVC 2019), held in Las Vegas, USA from May 2 to 3, 2019. The conference attracted a total of 371 submissions from pioneering researchers, scientists, industrial engineers, and students all around the world. These submissions underwent a double-blind peer review process, after which 120 (including 7 poster papers) were selected for inclusion in these proceedings. The book's goal is to reflect the intellectual breadth and depth of current research on computer vision, from classical to intelligent scope. Accordingly, its respective chapters address state-of-the-art intelligent methods and techniques for solving real-world problems, while also outlining future research directions. Topic areas covered include Machine Vision and Learning, Data Science, Image Processing, Deep Learning, and Computer Vision Applications.

ISBN: 9783030177959

Standard No.: 10.1007/978-3-030-17795-9doiSubjects--Topical Terms:

570734
Computer vision
--Congresses.

LC Class. No.: TA1634

Dewey Class. No.: 006.37

Advances in computer vision = proceedings of the 2019 Computer Vision Conference (CVC). Volume 1 /
LDR:02880nmm a2200337 a 4500 001 2213436
003 DE-He213
005 20200210113752.0
006 m d
007 cr nn 008maaau
008 201117s2020 sz s 0 eng d
020 $a 9783030177959 $q (electronic bk.)
020 $a 9783030177942 $q (paper)
024 7 $a 10.1007/978-3-030-17795-9 $2 doi
035 $a 978-3-030-17795-9
040 $a GP $c GP
041 0 $a eng
050 4 $a TA1634
072 7 $a UYQ $2 bicssc
072 7 $a COM004000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 006.37 $2 23
090 $a TA1634 $b .C738 2019
111 2 $a Computer Vision Conference $d (2019 : $c Las Vegas, Nev.) $3 3442910
245 1 0 $a Advances in computer vision $h [electronic resource] : $b proceedings of the 2019 Computer Vision Conference (CVC) $n Volume 1 / $c edited by Kohei Arai, Supriya Kapoor.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2020.
300 $a xii, 821 p. : $b ill., digital ; $c 24 cm.
490 1 $a Advances in intelligent systems and computing, $x 2194-5357 ; $v v.943
505 0 $a Deep Learning for Detection of Railway Signs and Signals -- 3D Conceptual Design using Deep Learning -- The Effect of Color Channel Representations on the Transferability of Convolutional Neural Networks -- Weakly Supervised Deep Metric Learning for Template Matching -- Deep Learning vs. Traditional Computer Vision -- Deep Cross-modal Age Estimation -- No-reference Image Denoising Quality Assessment -- Plant Leaf Disease Detection using Adaptive Neuro-Fuzzy Classification -- Fusion of CNN- and COSFIRE-based Features with Application to Gender Recognition from Face Images -- Learning of Shape Models from Exemplars of Biological Objects in Images -- Researcher Profile Ontology for Academic Environment.
520 $a This book presents a remarkable collection of chapters covering a wide range of topics in the areas of Computer Vision, both from theoretical and application perspectives. It gathers the proceedings of the Computer Vision Conference (CVC 2019), held in Las Vegas, USA from May 2 to 3, 2019. The conference attracted a total of 371 submissions from pioneering researchers, scientists, industrial engineers, and students all around the world. These submissions underwent a double-blind peer review process, after which 120 (including 7 poster papers) were selected for inclusion in these proceedings. The book's goal is to reflect the intellectual breadth and depth of current research on computer vision, from classical to intelligent scope. Accordingly, its respective chapters address state-of-the-art intelligent methods and techniques for solving real-world problems, while also outlining future research directions. Topic areas covered include Machine Vision and Learning, Data Science, Image Processing, Deep Learning, and Computer Vision Applications.
650 0 $a Computer vision $x Congresses. $3 570734
650 1 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Artificial Intelligence. $3 769149
650 2 4 $a Image Processing and Computer Vision. $3 891070
700 1 $a Arai, Kohei. $3 2134666
700 1 $a Kapoor, Supriya. $3 2058263
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a Advances in intelligent systems and computing ; $v v.943. $3 3442911
856 4 0 $u https://doi.org/10.1007/978-3-030-17795-9
950 $a Intelligent Technologies and Robotics (Springer-42732)