Language:
English
繁體中文
Help
圖資館首頁
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
Structural, syntactic, and statistic...
~
(1998 :)
Structural, syntactic, and statistical pattern recognitionjoint IAPR International Workshops, S+SSPR 2020, Padua, Italy, January 21-22, 2021 : proceedings /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Structural, syntactic, and statistical pattern recognitionedited by Andrea Torsello ... [et al.].
Reminder of title:
joint IAPR International Workshops, S+SSPR 2020, Padua, Italy, January 21-22, 2021 : proceedings /
remainder title:
S+SSPR 2020
other author:
Torsello, Andrea.
corporate name:
Published:
Cham :Springer International Publishing :2021.
Description:
xii, 378 p. :ill., digital ;24 cm.
Contained By:
Springer Nature eBook
Subject:
Pattern recognition systemsCongresses.
Online resource:
https://doi.org/10.1007/978-3-030-73973-7
ISBN:
9783030739737$q(electronic bk.)
Structural, syntactic, and statistical pattern recognitionjoint IAPR International Workshops, S+SSPR 2020, Padua, Italy, January 21-22, 2021 : proceedings /
Structural, syntactic, and statistical pattern recognition
joint IAPR International Workshops, S+SSPR 2020, Padua, Italy, January 21-22, 2021 : proceedings /[electronic resource] :S+SSPR 2020edited by Andrea Torsello ... [et al.]. - Cham :Springer International Publishing :2021. - xii, 378 p. :ill., digital ;24 cm. - Lecture notes in computer science,126440302-9743 ;. - Lecture notes in computer science ;4891..
Classification and data processing -- Deep learning -- Graph-theoretic methods -- Multimedia analysis and understanding.
This book constitutes the proceedings of the Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition, S+SSPR 2020, held in Padua, Italy, in January 2021. The 35 papers presented in this volume were carefully reviewed and selected from 81 submissions. The accepted papers cover the major topics of current interest in pattern recognition, including classification and clustering, deep learning, structural matching and graph-theoretic methods, and multimedia analysis and understanding.
ISBN: 9783030739737$q(electronic bk.)
Standard No.: 10.1007/978-3-030-73973-7doiSubjects--Topical Terms:
387176
Pattern recognition systems
--Congresses.
LC Class. No.: TK7882.P3 / I57 2021
Dewey Class. No.: 006.4
Structural, syntactic, and statistical pattern recognitionjoint IAPR International Workshops, S+SSPR 2020, Padua, Italy, January 21-22, 2021 : proceedings /
LDR
:01927nmm a2200361 a 4500
001
597609
003
DE-He213
005
20210409151957.0
006
m d
007
cr nn 008maaau
008
211019s2021 gw s 0 eng d
020
$a
9783030739737$q(electronic bk.)
020
$a
9783030739720$q(paper)
024
7
$a
10.1007/978-3-030-73973-7
$2
doi
035
$a
978-3-030-73973-7
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
TK7882.P3
$b
I57 2021
072
7
$a
UYQ
$2
bicssc
072
7
$a
COM004000
$2
bisacsh
072
7
$a
UYQ
$2
thema
082
0 4
$a
006.4
$2
23
090
$a
TK7882.P3
$b
I61 2021
111
2
$n
(3rd :
$d
1998 :
$c
Amsterdam, Netherlands)
$3
194767
245
1 0
$a
Structural, syntactic, and statistical pattern recognition
$h
[electronic resource] :
$b
joint IAPR International Workshops, S+SSPR 2020, Padua, Italy, January 21-22, 2021 : proceedings /
$c
edited by Andrea Torsello ... [et al.].
246
3
$a
S+SSPR 2020
260
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2021.
300
$a
xii, 378 p. :
$b
ill., digital ;
$c
24 cm.
490
1
$a
Lecture notes in computer science,
$x
0302-9743 ;
$v
12644
490
1
$a
Image processing, computer vision, pattern recognition, and graphics
505
0
$a
Classification and data processing -- Deep learning -- Graph-theoretic methods -- Multimedia analysis and understanding.
520
$a
This book constitutes the proceedings of the Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition, S+SSPR 2020, held in Padua, Italy, in January 2021. The 35 papers presented in this volume were carefully reviewed and selected from 81 submissions. The accepted papers cover the major topics of current interest in pattern recognition, including classification and clustering, deep learning, structural matching and graph-theoretic methods, and multimedia analysis and understanding.
650
0
$a
Pattern recognition systems
$v
Congresses.
$3
387176
650
0
$a
Computer vision
$3
253837
650
1 4
$a
Artificial Intelligence.
$3
212515
650
2 4
$a
Algorithm Analysis and Problem Complexity.
$3
273702
650
2 4
$a
Data Structures.
$3
273992
650
2 4
$a
Computer Appl. in Social and Behavioral Sciences.
$3
274376
650
2 4
$a
Computing Milieux.
$3
275270
650
2 4
$a
Mathematics of Computing.
$3
273710
700
1
$a
Torsello, Andrea.
$3
375531
710
2
$a
SpringerLink (Online service)
$3
273601
773
0
$t
Springer Nature eBook
830
0
$a
Lecture notes in computer science ;
$v
4891.
$3
383229
830
0
$a
Image processing, computer vision, pattern recognition, and graphics.
$3
823073
856
4 0
$u
https://doi.org/10.1007/978-3-030-73973-7
950
$a
Computer Science (SpringerNature-11645)
based on 0 review(s)
ALL
電子館藏
Items
1 records • Pages 1 •
1
Inventory Number
Location Name
Item Class
Material type
Call number
Usage Class
Loan Status
No. of reservations
Opac note
Attachments
000000196339
電子館藏
1圖書
電子書
EB TK7882.P3 I61 2021 2021
一般使用(Normal)
On shelf
0
1 records • Pages 1 •
1
Multimedia
Multimedia file
https://doi.org/10.1007/978-3-030-73973-7
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login