找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

Titlebook: Optimization Techniques in Computer Vision; Ill-Posed Problems a Mongi A. Abidi,Andrei V. Gribok,Joonki Paik Book 2016 Springer Internation

[復(fù)制鏈接]
查看: 26270|回復(fù): 51
樓主
發(fā)表于 2025-3-21 19:33:04 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Optimization Techniques in Computer Vision
副標(biāo)題Ill-Posed Problems a
編輯Mongi A. Abidi,Andrei V. Gribok,Joonki Paik
視頻videohttp://file.papertrans.cn/704/703174/703174.mp4
概述Features a comprehensive description of regularization through optimization.Contains a large selection of data fusion algorithms.Includes chapters devoted to video compression and enhancement.Includes
叢書名稱Advances in Computer Vision and Pattern Recognition
圖書封面Titlebook: Optimization Techniques in Computer Vision; Ill-Posed Problems a Mongi A. Abidi,Andrei V. Gribok,Joonki Paik Book 2016 Springer Internation
描述This book presents practical optimization techniques used in image processing and computer vision problems. Ill-posed problems are introduced and used as examples to show how each type of problem is related to typical image processing and computer vision problems. Unconstrained optimization gives the best solution based on numerical minimization of a single, scalar-valued objective function or cost function. Unconstrained optimization problems have been intensively studied, and many algorithms and tools have been developed to solve them. Most practical optimization problems, however, arise with a set of constraints. Typical examples of constraints include: (i) pre-specified pixel intensity range, (ii) smoothness or correlation with neighboring information, (iii) existence on a certain contour of lines or curves, and (iv) given statistical or spectral characteristics of the solution. Regularized optimization is a special method used to solve a class of constrained optimization problems.The term regularization refers to the transformation of an objective function with constraints into a different objective function, automatically reflecting constraints in the unconstrained minimizati
出版日期Book 2016
關(guān)鍵詞regularization parameter selection; shape representation in image processing; image interpolation algo
版次1
doihttps://doi.org/10.1007/978-3-319-46364-3
isbn_softcover978-3-319-83501-3
isbn_ebook978-3-319-46364-3Series ISSN 2191-6586 Series E-ISSN 2191-6594
issn_series 2191-6586
copyrightSpringer International Publishing Switzerland 2016
The information of publication is updating

書目名稱Optimization Techniques in Computer Vision影響因子(影響力)




書目名稱Optimization Techniques in Computer Vision影響因子(影響力)學(xué)科排名




書目名稱Optimization Techniques in Computer Vision網(wǎng)絡(luò)公開度




書目名稱Optimization Techniques in Computer Vision網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Optimization Techniques in Computer Vision被引頻次




書目名稱Optimization Techniques in Computer Vision被引頻次學(xué)科排名




書目名稱Optimization Techniques in Computer Vision年度引用




書目名稱Optimization Techniques in Computer Vision年度引用學(xué)科排名




書目名稱Optimization Techniques in Computer Vision讀者反饋




書目名稱Optimization Techniques in Computer Vision讀者反饋學(xué)科排名




單選投票, 共有 1 人參與投票
 

0票 0.00%

Perfect with Aesthetics

 

1票 100.00%

Better Implies Difficulty

 

0票 0.00%

Good and Satisfactory

 

0票 0.00%

Adverse Performance

 

0票 0.00%

Disdainful Garbage

您所在的用戶組沒有投票權(quán)限
沙發(fā)
發(fā)表于 2025-3-21 21:12:11 | 只看該作者
https://doi.org/10.1007/978-3-319-46364-3regularization parameter selection; shape representation in image processing; image interpolation algo
板凳
發(fā)表于 2025-3-22 00:59:00 | 只看該作者
Introduction to Optimizationematical models in order to cast the problems into optimization form. This chapter considers basic optimization theory and application as related to image processing. The focus presented in the examples will be to functions of one dimension, or line functions. Later chapters will give emphasis to the multidimensional case.
地板
發(fā)表于 2025-3-22 07:25:40 | 只看該作者
Frequency-Domain Implementation of RegularizationRegularization methods play an important role in solving linear equations of the form.with prior knowledge about the solution. The corresponding regularization results in minimization of
5#
發(fā)表于 2025-3-22 11:07:40 | 只看該作者
6#
發(fā)表于 2025-3-22 13:50:17 | 只看該作者
7#
發(fā)表于 2025-3-22 21:03:42 | 只看該作者
8#
發(fā)表于 2025-3-22 23:40:29 | 只看該作者
Mongi A. Abidi,Andrei V. Gribok,Joonki Paikr akademische Vortrag, so sehr er die Hingabe des Einzelnen an ein begrenztes Gebiet des Wissens anregen und den Fortschritt der Wissenschaft f?rdern soll, kann als Lehrweise die Anstrebung der Nivellirung einer Schülerzahl nicht verleugnen. Für die Unterweisung im Heere, dessen Leistungen im Wesent
9#
發(fā)表于 2025-3-23 04:08:57 | 只看該作者
10#
發(fā)表于 2025-3-23 05:48:19 | 只看該作者
Mongi A. Abidi,Andrei V. Gribok,Joonki Paikgen schon bei der Kondensation der Flüssigkeitsd?mpfe deren W?rme auf das Kühlwasser. Wir ?schlugen die D?mpfe nieder“, wir nahmen ihnen die W?rme, die sie aus Wasser zu D?mpfen gemacht hatte, und machten sie wieder zu Wasser. Das war ein W?rmeaustausch in unmittelbarer Berührung der D?mpfe mit dem
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務(wù)流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學(xué) Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點(diǎn)評(píng) 投稿經(jīng)驗(yàn)總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機(jī)版|小黑屋| 派博傳思國(guó)際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-6 20:42
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復(fù) 返回頂部 返回列表
白城市| 兴城市| 石台县| 明溪县| 唐河县| 会同县| 北票市| 武邑县| 北宁市| 鄂托克前旗| 东丰县| 颍上县| 新干县| 泗水县| 东山县| 介休市| 林周县| 侯马市| 黑河市| 兴城市| 石首市| 福建省| 托里县| 甘德县| 威海市| 大埔区| 泽普县| 靖安县| 贞丰县| 沂南县| 扶风县| 平潭县| 伊春市| 汉源县| 甘泉县| 宁陕县| 论坛| 丽水市| 平阴县| 合江县| 桐庐县|