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High-dimensional and low-quality visual information processing [electronic resource] : from structured sensing and understanding

High-dimensional and low-quality visual information processing [electronic resource] : from structured sensing and understanding

자료유형
E-Book(소장)
개인저자
Deng, Yue.
서명 / 저자사항
High-dimensional and low-quality visual information processing [electronic resource] : from structured sensing and understanding / Yue Deng.
발행사항
Berlin;   Heidelberg :   Springer Berlin Heidelberg :   Imprint: Springer,   2015.  
형태사항
1 online resource (xv, 99 p.) : ill.
총서사항
Springer Theses, Recognizing Outstanding Ph.D. Research,2190-5053
ISBN
9783662445266
요약
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.
일반주기
Title from e-Book title page.  
내용주기
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.
서지주기
Includes bibliographical references and index.
이용가능한 다른형태자료
Issued also as a book.  
일반주제명
Computer vision. Image processing. Optical data processing.
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020 ▼a 9783662445266
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050 4 ▼a TK5102.9
082 0 4 ▼a 006.37 ▼2 23
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100 1 ▼a Deng, Yue.
245 1 0 ▼a High-dimensional and low-quality visual information processing ▼h [electronic resource] : ▼b from structured sensing and understanding / ▼c Yue Deng.
260 ▼a Berlin; ▼a Heidelberg : ▼b Springer Berlin Heidelberg : ▼b Imprint: Springer, ▼c 2015.
300 ▼a 1 online resource (xv, 99 p.) : ▼b ill.
490 1 ▼a Springer Theses, Recognizing Outstanding Ph.D. Research, ▼x 2190-5053
500 ▼a Title from e-Book title page.
504 ▼a Includes bibliographical references and index.
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.
530 ▼a Issued also as a book.
538 ▼a Mode of access: World Wide Web.
650 0 ▼a Computer vision.
650 0 ▼a Image processing.
650 0 ▼a Optical data processing.
830 0 ▼a Springer Theses, Recognizing Outstanding Ph.D. Research.
856 4 0 ▼u https://oca.korea.ac.kr/link.n2s?url=http://dx.doi.org/10.1007/978-3-662-44526-6
945 ▼a KLPA
991 ▼a E-Book(소장)

소장정보

No. 소장처 청구기호 등록번호 도서상태 반납예정일 예약 서비스
No. 1 소장처 중앙도서관/e-Book 컬렉션/ 청구기호 CR 006.37 등록번호 E14029071 도서상태 대출불가(열람가능) 반납예정일 예약 서비스 M

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