語系:
繁體中文
English
說明(常見問題)
圖資館首頁
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Machine learning-based natural scene...
~
SpringerLink (Online service)
Machine learning-based natural scene recognition for mobile robot localization in an unknown environment
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Machine learning-based natural scene recognition for mobile robot localization in an unknown environmentby Xiaochun Wang, Xiali Wang, Don Mitchell Wilkes.
作者:
Wang, Xiaochun.
其他作者:
Wang, Xiali.
出版者:
Singapore :Springer Singapore :2020.
面頁冊數:
xxii, 328 p. :ill. (some col.), digital ;24 cm.
Contained By:
Springer eBooks
標題:
Machine learning.
電子資源:
https://doi.org/10.1007/978-981-13-9217-7
ISBN:
9789811392177$q(electronic bk.)
Machine learning-based natural scene recognition for mobile robot localization in an unknown environment
Wang, Xiaochun.
Machine learning-based natural scene recognition for mobile robot localization in an unknown environment
[electronic resource] /by Xiaochun Wang, Xiali Wang, Don Mitchell Wilkes. - Singapore :Springer Singapore :2020. - xxii, 328 p. :ill. (some col.), digital ;24 cm.
Part I Introduction -- Part II Unsupervised Learning -- Part III Supervised Learning and Semi-Supervised Learning -- Part IV Reinforcement Learning.
This book advances research on mobile robot localization in unknown environments by focusing on machine-learning-based natural scene recognition. The respective chapters highlight the latest developments in vision-based machine perception and machine learning research for localization applications, and cover such topics as: image-segmentation-based visual perceptual grouping for the efficient identification of objects composing unknown environments; classification-based rapid object recognition for the semantic analysis of natural scenes in unknown environments; the present understanding of the Prefrontal Cortex working memory mechanism and its biological processes for human-like localization; and the application of this present understanding to improve mobile robot localization. The book also features a perspective on bridging the gap between feature representations and decision-making using reinforcement learning, laying the groundwork for future advances in mobile robot navigation research.
ISBN: 9789811392177$q(electronic bk.)
Standard No.: 10.1007/978-981-13-9217-7doiSubjects--Topical Terms:
188639
Machine learning.
LC Class. No.: Q325.5
Dewey Class. No.: 629.892
Machine learning-based natural scene recognition for mobile robot localization in an unknown environment
LDR
:02230nmm a2200325 a 4500
001
577716
003
DE-He213
005
20200220161257.0
006
m d
007
cr nn 008maaau
008
201203s2020 si s 0 eng d
020
$a
9789811392177$q(electronic bk.)
020
$a
9789811392160$q(paper)
024
7
$a
10.1007/978-981-13-9217-7
$2
doi
035
$a
978-981-13-9217-7
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
Q325.5
072
7
$a
TJFM1
$2
bicssc
072
7
$a
TEC037000
$2
bisacsh
072
7
$a
TJFM1
$2
thema
082
0 4
$a
629.892
$2
23
090
$a
Q325.5
$b
.W246 2020
100
1
$a
Wang, Xiaochun.
$3
866223
245
1 0
$a
Machine learning-based natural scene recognition for mobile robot localization in an unknown environment
$h
[electronic resource] /
$c
by Xiaochun Wang, Xiali Wang, Don Mitchell Wilkes.
260
$a
Singapore :
$b
Springer Singapore :
$b
Imprint: Springer,
$c
2020.
300
$a
xxii, 328 p. :
$b
ill. (some col.), digital ;
$c
24 cm.
505
0
$a
Part I Introduction -- Part II Unsupervised Learning -- Part III Supervised Learning and Semi-Supervised Learning -- Part IV Reinforcement Learning.
520
$a
This book advances research on mobile robot localization in unknown environments by focusing on machine-learning-based natural scene recognition. The respective chapters highlight the latest developments in vision-based machine perception and machine learning research for localization applications, and cover such topics as: image-segmentation-based visual perceptual grouping for the efficient identification of objects composing unknown environments; classification-based rapid object recognition for the semantic analysis of natural scenes in unknown environments; the present understanding of the Prefrontal Cortex working memory mechanism and its biological processes for human-like localization; and the application of this present understanding to improve mobile robot localization. The book also features a perspective on bridging the gap between feature representations and decision-making using reinforcement learning, laying the groundwork for future advances in mobile robot navigation research.
650
0
$a
Machine learning.
$3
188639
650
0
$a
Mobile robots.
$3
199828
650
1 4
$a
Robotics and Automation.
$3
357111
650
2 4
$a
Computer Imaging, Vision, Pattern Recognition and Graphics.
$3
274492
650
2 4
$a
Computational Intelligence.
$3
338479
650
2 4
$a
Robotics.
$3
181952
650
2 4
$a
Machine Learning.
$3
833608
700
1
$a
Wang, Xiali.
$3
866224
700
1
$a
Wilkes, Don Mitchell.
$3
866225
710
2
$a
SpringerLink (Online service)
$3
273601
773
0
$t
Springer eBooks
856
4 0
$u
https://doi.org/10.1007/978-981-13-9217-7
950
$a
Intelligent Technologies and Robotics (Springer-42732)
筆 0 讀者評論
全部
電子館藏
館藏
1 筆 • 頁數 1 •
1
條碼號
館藏地
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
000000182665
電子館藏
1圖書
電子書
EB Q325.5 .W246 2020 2020
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
多媒體檔案
https://doi.org/10.1007/978-981-13-9217-7
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼
登入