找回密碼
 To register

QQ登錄

只需一步,快速開(kāi)始

掃一掃,訪問(wèn)微社區(qū)

打印 上一主題 下一主題

Titlebook: Imaging, Vision and Learning Based on Optimization and PDEs; IVLOPDE, Bergen, Nor Xue-Cheng Tai,Egil Bae,Marius Lysaker Conference proceedi

[復(fù)制鏈接]
查看: 16922|回復(fù): 42
樓主
發(fā)表于 2025-3-21 17:52:00 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱(chēng)Imaging, Vision and Learning Based on Optimization and PDEs
副標(biāo)題IVLOPDE, Bergen, Nor
編輯Xue-Cheng Tai,Egil Bae,Marius Lysaker
視頻videohttp://file.papertrans.cn/462/461823/461823.mp4
叢書(shū)名稱(chēng)Mathematics and Visualization
圖書(shū)封面Titlebook: Imaging, Vision and Learning Based on Optimization and PDEs; IVLOPDE, Bergen, Nor Xue-Cheng Tai,Egil Bae,Marius Lysaker Conference proceedi
描述.This volume presents the peer-reviewed proceedings of the international conference Imaging, Vision and Learning Based on Optimization and PDEs (IVLOPDE), held in Bergen, Norway, in August/September 2016. The contributions cover state-of-the-art research on mathematical techniques for image processing, computer vision and machine learning based on optimization and partial differential equations (PDEs). .It has become an established paradigm to formulate problems within image processing and computer vision as PDEs, variational problems or finite dimensional optimization problems. This compact yet expressive framework makes it possible to incorporate a range of desired properties of the solutions and to design algorithms based on well-founded mathematical theory. A growing body of research has also approached more general problems within data analysis and machine learning from the same perspective, and demonstrated the advantages over earlier, more established algorithms. .This volume will appeal to all mathematicians and computer scientists interested in novel techniques and analytical results for optimization, variational models and PDEs, together with experimental results on appli
出版日期Conference proceedings 2018
關(guān)鍵詞image processing; computer vision; machine learning pattern recognition; optimization; partial different
版次1
doihttps://doi.org/10.1007/978-3-319-91274-5
isbn_ebook978-3-319-91274-5Series ISSN 1612-3786 Series E-ISSN 2197-666X
issn_series 1612-3786
copyrightSpringer International Publishing AG, part of Springer Nature 2018
The information of publication is updating

書(shū)目名稱(chēng)Imaging, Vision and Learning Based on Optimization and PDEs影響因子(影響力)




書(shū)目名稱(chēng)Imaging, Vision and Learning Based on Optimization and PDEs影響因子(影響力)學(xué)科排名




書(shū)目名稱(chēng)Imaging, Vision and Learning Based on Optimization and PDEs網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱(chēng)Imaging, Vision and Learning Based on Optimization and PDEs網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱(chēng)Imaging, Vision and Learning Based on Optimization and PDEs被引頻次




書(shū)目名稱(chēng)Imaging, Vision and Learning Based on Optimization and PDEs被引頻次學(xué)科排名




書(shū)目名稱(chēng)Imaging, Vision and Learning Based on Optimization and PDEs年度引用




書(shū)目名稱(chēng)Imaging, Vision and Learning Based on Optimization and PDEs年度引用學(xué)科排名




書(shū)目名稱(chēng)Imaging, Vision and Learning Based on Optimization and PDEs讀者反饋




書(shū)目名稱(chēng)Imaging, Vision and Learning Based on Optimization and PDEs讀者反饋學(xué)科排名




單選投票, 共有 0 人參與投票
 

0票 0%

Perfect with Aesthetics

 

0票 0%

Better Implies Difficulty

 

0票 0%

Good and Satisfactory

 

0票 0%

Adverse Performance

 

0票 0%

Disdainful Garbage

您所在的用戶(hù)組沒(méi)有投票權(quán)限
沙發(fā)
發(fā)表于 2025-3-21 20:36:55 | 只看該作者
板凳
發(fā)表于 2025-3-22 00:42:51 | 只看該作者
A Convergent Fixed-Point Proximity Algorithm Accelerated by FISTA for the , Sparse Recovery Problemon problem and study its convergence. Moreover, we show that FISTA can be employed to speed up the convergence rate of the proposed algorithm to reach the optimal convergence rate of .. We present numerical results to confirm the theoretical estimate.
地板
發(fā)表于 2025-3-22 04:37:24 | 只看該作者
5#
發(fā)表于 2025-3-22 12:18:40 | 只看該作者
Sparse-Data Based 3D Surface Reconstruction for Cartoon and Mapons. A numerical algorithm based on the augmented Lagrangian method is also proposed. The numerical experiments are presented, showing its excellent performance both in designing cartoon characters, as well as in recovering oriented three dimensional maps from contours or points with elevation information.
6#
發(fā)表于 2025-3-22 14:56:11 | 只看該作者
7#
發(fā)表于 2025-3-22 19:19:23 | 只看該作者
8#
發(fā)表于 2025-3-23 00:50:39 | 只看該作者
9#
發(fā)表于 2025-3-23 04:24:43 | 只看該作者
On the Convex Model of Speckle Reductionrgence is analysed. The experimental results on some images subject to multiplicative noise as well as comparisons to other state-of-the-art methods are also presented. The results can verify that the new model is reasonable.
10#
發(fā)表于 2025-3-23 09:25:52 | 只看該作者
 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(ài)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 22:49
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
靖宇县| 收藏| 拉孜县| 右玉县| 塘沽区| 奎屯市| 修文县| 临江市| 镇江市| 丹凤县| 松滋市| 城固县| 红桥区| 库伦旗| 镶黄旗| 柞水县| 类乌齐县| 图木舒克市| 天台县| 焦作市| 天柱县| 南丹县| 昌黎县| 北辰区| 城步| 西和县| 建昌县| 龙海市| 乡城县| 高陵县| 遂昌县| 龙山县| 桦川县| 玉屏| 石城县| 全椒县| 沙田区| 德令哈市| 嘉祥县| 高唐县| 绥江县|