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

High-dimensional and low-quality vis...

Deng, Yue.

FindBook

Google Book

Amazon

博客來

High-dimensional and low-quality visual information processing = from structured sensing and understanding /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	High-dimensional and low-quality visual information processing/ by Yue Deng.
其他題名:	from structured sensing and understanding /
作者:	Deng, Yue.
出版者:	Berlin, Heidelberg :Springer Berlin Heidelberg : : 2015.,
面頁冊數:	xv, 99 p. :ill., digital ;24 cm.
內容註:	Introduction -- Sparse Structure for Visual Signal Sensing -- Graph Structure for Visual Signal Sensing -- Discriminative Structure for Visual Signal Understanding -- Information Theoretic Structure for Visual Signal Understanding -- Conclusions.
Contained By:	Springer eBooks
標題:	Computer vision. -
電子資源:	http://dx.doi.org/10.1007/978-3-662-44526-6
ISBN:	9783662445266 (electronic bk.)

High-dimensional and low-quality visual information processing = from structured sensing and understanding /
Deng, Yue.

High-dimensional and low-quality visual information processingfrom structured sensing and understanding /[electronic resource] :by Yue Deng. - Berlin, Heidelberg :Springer Berlin Heidelberg :2015. - xv, 99 p. :ill., digital ;24 cm. - Springer theses,2190-5053. - Springer theses..

Introduction -- Sparse Structure for Visual Signal Sensing -- Graph Structure for Visual Signal Sensing -- Discriminative Structure for Visual Signal Understanding -- Information Theoretic Structure for Visual Signal Understanding -- Conclusions.

This thesis primarily focuses on how to carry out intelligent sensing and understand the high-dimensional and low-quality visual information. After exploring the inherent structures of the visual data, it proposes a number of computational models covering an extensive range of mathematical topics, including compressive sensing, graph theory, probabilistic learning and information theory. These computational models are also applied to address a number of real-world problems including biometric recognition, stereo signal reconstruction, natural scene parsing, and SAR image processing.

ISBN: 9783662445266 (electronic bk.)

Standard No.: 10.1007/978-3-662-44526-6doiSubjects--Topical Terms:

540671
Computer vision.

LC Class. No.: TA1634

Dewey Class. No.: 006.37

High-dimensional and low-quality visual information processing = from structured sensing and understanding /
LDR:01918nmm a2200349 a 4500 001 1994280
003 DE-He213
005 20150603161226.0
006 m d
007 cr nn 008maaau
008 151019s2015 gw s 0 eng d
020 $a 9783662445266 (electronic bk.)
020 $a 9783662445259 (paper)
024 7 $a 10.1007/978-3-662-44526-6 $2 doi
035 $a 978-3-662-44526-6
040 $a GP $c GP
041 0 $a eng
050 4 $a TA1634
072 7 $a TTBM $2 bicssc
072 7 $a UYS $2 bicssc
072 7 $a TEC008000 $2 bisacsh
072 7 $a COM073000 $2 bisacsh
082 0 4 $a 006.37 $2 23
090 $a TA1634 $b .D392 2015
100 1 $a Deng, Yue. $3 2133009
245 1 0 $a High-dimensional and low-quality visual information processing $h [electronic resource] : $b from structured sensing and understanding / $c by Yue Deng.
260 $a Berlin, Heidelberg : $b Springer Berlin Heidelberg : $b Imprint: Springer, $c 2015.
300 $a xv, 99 p. : $b ill., digital ; $c 24 cm.
490 1 $a Springer theses, $x 2190-5053
505 0 $a Introduction -- Sparse Structure for Visual Signal Sensing -- Graph Structure for Visual Signal Sensing -- Discriminative Structure for Visual Signal Understanding -- Information Theoretic Structure for Visual Signal Understanding -- Conclusions.
520 $a This thesis primarily focuses on how to carry out intelligent sensing and understand the high-dimensional and low-quality visual information. After exploring the inherent structures of the visual data, it proposes a number of computational models covering an extensive range of mathematical topics, including compressive sensing, graph theory, probabilistic learning and information theory. These computational models are also applied to address a number of real-world problems including biometric recognition, stereo signal reconstruction, natural scene parsing, and SAR image processing.
650 0 $a Computer vision. $3 540671
650 0 $a Image processing. $3 621117
650 0 $a Optical data processing. $3 649747
650 1 4 $a Engineering. $3 586835
650 2 4 $a Signal, Image and Speech Processing. $3 891073
650 2 4 $a Image Processing and Computer Vision. $3 891070
650 2 4 $a Data Structures, Cryptology and Information Theory. $3 891008
650 2 4 $a Data Mining and Knowledge Discovery. $3 898250
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a Springer theses. $3 1314442
856 4 0 $u http://dx.doi.org/10.1007/978-3-662-44526-6
950 $a Engineering (Springer-11647)