High-Dimensional and Low-Quality Visual Information Processing: From Structured Sensing and Understanding
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, i...
Đã lưu trong:
| Tác giả chính: | |
|---|---|
| Định dạng: | Sách |
| Ngôn ngữ: | English |
| Được phát hành: |
Springer
2015
|
| Những chủ đề: | |
| Truy cập trực tuyến: | https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/58454 |
| Các nhãn: |
Thêm thẻ
Không có thẻ, Là người đầu tiên thẻ bản ghi này!
|
| Thư viện lưu trữ: | Thư viện Trường Đại học Đà Lạt |
|---|
| id |
oai:scholar.dlu.edu.vn:DLU123456789-58454 |
|---|---|
| record_format |
dspace |
| spelling |
oai:scholar.dlu.edu.vn:DLU123456789-584542023-11-11T06:07:19Z High-Dimensional and Low-Quality Visual Information Processing: From Structured Sensing and Understanding Deng, Yue Optical data processing Image processing Computer vision 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. 2015-09-23T08:04:47Z 2015-09-23T08:04:47Z 2015 Book 978-3-662-44526-6 978-3-662-44525-9 https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/58454 en application/pdf Springer |
| institution |
Thư viện Trường Đại học Đà Lạt |
| collection |
Thư viện số |
| language |
English |
| topic |
Optical data processing Image processing Computer vision |
| spellingShingle |
Optical data processing Image processing Computer vision Deng, Yue High-Dimensional and Low-Quality Visual Information Processing: From Structured Sensing and Understanding |
| description |
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. |
| format |
Book |
| author |
Deng, Yue |
| author_facet |
Deng, Yue |
| author_sort |
Deng, Yue |
| title |
High-Dimensional and Low-Quality Visual Information Processing:
From Structured Sensing and Understanding |
| title_short |
High-Dimensional and Low-Quality Visual Information Processing:
From Structured Sensing and Understanding |
| title_full |
High-Dimensional and Low-Quality Visual Information Processing:
From Structured Sensing and Understanding |
| title_fullStr |
High-Dimensional and Low-Quality Visual Information Processing:
From Structured Sensing and Understanding |
| title_full_unstemmed |
High-Dimensional and Low-Quality Visual Information Processing:
From Structured Sensing and Understanding |
| title_sort |
high-dimensional and low-quality visual information processing:
from structured sensing and understanding |
| publisher |
Springer |
| publishDate |
2015 |
| url |
https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/58454 |
| _version_ |
1782545970475565056 |