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: Visual Pattern Discovery and Recognition; Hongxing Wang,Chaoqun Weng,Junsong Yuan Book 2017 The Author(s) 2017 Visual Pattern Discovery.Mu

[復(fù)制鏈接]
查看: 45682|回復(fù): 36
樓主
發(fā)表于 2025-3-21 19:12:19 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Visual Pattern Discovery and Recognition
編輯Hongxing Wang,Chaoqun Weng,Junsong Yuan
視頻videohttp://file.papertrans.cn/984/983761/983761.mp4
概述Enables readers to quickly access the world of visual pattern discovery and multi-feature fusion research.Offers detailed methodology to handle visual data with large variations in spatial and feature
叢書名稱SpringerBriefs in Computer Science
圖書封面Titlebook: Visual Pattern Discovery and Recognition;  Hongxing Wang,Chaoqun Weng,Junsong Yuan Book 2017 The Author(s) 2017 Visual Pattern Discovery.Mu
描述.This book presents a systematic study of visual pattern discovery, from unsupervised to semi-supervised manner approaches, and from dealing with a single feature to multiple types of features. Furthermore, it discusses the potential applications of discovering visual patterns for visual data analytics, including visual search, object and scene recognition..It is intended as a reference book for advanced undergraduates or postgraduate students who are interested in visual data analytics, enabling them to quickly access the research world and acquire a systematic methodology rather than a few isolated techniques to analyze visual data with large variations. It is also inspiring for researchers working in computer vision and pattern recognition fields. Basic knowledge of linear algebra, computer vision and pattern recognition would be helpful to readers..
出版日期Book 2017
關(guān)鍵詞Visual Pattern Discovery; Multi-feature Fusion; Context-Aware Discovery; Co-occurrence Pattern; Hierarch
版次1
doihttps://doi.org/10.1007/978-981-10-4840-1
isbn_softcover978-981-10-4839-5
isbn_ebook978-981-10-4840-1Series ISSN 2191-5768 Series E-ISSN 2191-5776
issn_series 2191-5768
copyrightThe Author(s) 2017
The information of publication is updating

書目名稱Visual Pattern Discovery and Recognition影響因子(影響力)




書目名稱Visual Pattern Discovery and Recognition影響因子(影響力)學(xué)科排名




書目名稱Visual Pattern Discovery and Recognition網(wǎng)絡(luò)公開度




書目名稱Visual Pattern Discovery and Recognition網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Visual Pattern Discovery and Recognition被引頻次




書目名稱Visual Pattern Discovery and Recognition被引頻次學(xué)科排名




書目名稱Visual Pattern Discovery and Recognition年度引用




書目名稱Visual Pattern Discovery and Recognition年度引用學(xué)科排名




書目名稱Visual Pattern Discovery and Recognition讀者反饋




書目名稱Visual Pattern Discovery and Recognition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

您所在的用戶組沒有投票權(quán)限
沙發(fā)
發(fā)表于 2025-3-21 23:13:40 | 只看該作者
板凳
發(fā)表于 2025-3-22 04:04:50 | 只看該作者
地板
發(fā)表于 2025-3-22 04:54:16 | 只看該作者
5#
發(fā)表于 2025-3-22 11:05:55 | 只看該作者
6#
發(fā)表于 2025-3-22 14:52:29 | 只看該作者
7#
發(fā)表于 2025-3-22 17:35:01 | 只看該作者
8#
發(fā)表于 2025-3-23 00:45:54 | 只看該作者
Context-Aware Discovery of Visual Co-occurrence Patterns,t-aware clustering problem and propose a self-learning procedure to iteratively refine the result until it converges. By discovering both spatial co-occurrence patterns among visual primitives and feature co-occurrence patterns among different types of features, the proposed method can better address the ambiguities of visual primitives.
9#
發(fā)表于 2025-3-23 01:25:10 | 只看該作者
Hierarchical Sparse Coding for Visual Co-occurrence Discovery,in spatial and feature spaces, which can be more representative compared with the low-level sparse codes of visual primitive features. The superior results on various tasks of visual categorization and pattern discovery validate the effectiveness of the proposed approach.
10#
發(fā)表于 2025-3-23 05:49:44 | 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, 2025-10-7 02:36
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
九江县| 西藏| 泸水县| 黑山县| 云龙县| 苏尼特右旗| 梧州市| 井陉县| 五峰| 余江县| 嘉禾县| 怀仁县| 竹溪县| 招远市| 新安县| 湖口县| 东阳市| 南和县| 邹平县| 嘉峪关市| 延吉市| 嘉善县| 台前县| 罗甸县| 上思县| 始兴县| 拜城县| 庄浪县| 育儿| 兴隆县| 鄂托克前旗| 丰都县| 科技| 天镇县| 尚志市| 桦甸市| 措勤县| 张北县| 蓝田县| 林芝县| 义马市|