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: Machine Learning Methods for Behaviour Analysis and Anomaly Detection in Video; Olga Isupova Book 2018 Springer International Publishing A

[復(fù)制鏈接]
查看: 37908|回復(fù): 35
樓主
發(fā)表于 2025-3-21 20:03:39 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Machine Learning Methods for Behaviour Analysis and Anomaly Detection in Video
編輯Olga Isupova
視頻videohttp://file.papertrans.cn/621/620404/620404.mp4
概述Nominated by the University of Sheffield as an outstanding Ph.D. thesis.Proposes statistical hypothesis tests for both offline and online data processing and multiple change-point detection.Develops l
叢書名稱Springer Theses
圖書封面Titlebook: Machine Learning Methods for Behaviour Analysis and Anomaly Detection in Video;  Olga Isupova Book 2018 Springer International Publishing A
描述.This thesis proposes machine learning methods for understanding scenes via behaviour analysis and online anomaly detection in video. The book introduces novel Bayesian topic models for detection of events that are different from typical activities and a novel framework for change point detection for identifying sudden behavioural changes..Behaviour analysis and anomaly detection are key components of intelligent vision systems. Anomaly detection can be considered from two perspectives: abnormal events can be defined as those that violate typical activities or as a sudden change in behaviour. Topic modelling and change-point detection methodologies, respectively, are employed to achieve these objectives..The thesis starts with the development of learning algorithms for a dynamic topic model, which extract topics that represent typical activities of a scene. These typical activities are used in a normality measure in anomaly detection decision-making. The book also proposes anovel anomaly localisation procedure. .In the first topic model presented, a number of topics should be specified in advance. A novel dynamic nonparametric hierarchical Dirichlet process topic model is then deve
出版日期Book 2018
關(guān)鍵詞Machine Learning; Intelligent Vision Systems; Dynamic Type Models; Behaviour Analysis; Anomaly Detection
版次1
doihttps://doi.org/10.1007/978-3-319-75508-3
isbn_softcover978-3-030-09250-4
isbn_ebook978-3-319-75508-3Series ISSN 2190-5053 Series E-ISSN 2190-5061
issn_series 2190-5053
copyrightSpringer International Publishing AG 2018
The information of publication is updating

書目名稱Machine Learning Methods for Behaviour Analysis and Anomaly Detection in Video影響因子(影響力)




書目名稱Machine Learning Methods for Behaviour Analysis and Anomaly Detection in Video影響因子(影響力)學(xué)科排名




書目名稱Machine Learning Methods for Behaviour Analysis and Anomaly Detection in Video網(wǎng)絡(luò)公開度




書目名稱Machine Learning Methods for Behaviour Analysis and Anomaly Detection in Video網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Machine Learning Methods for Behaviour Analysis and Anomaly Detection in Video被引頻次




書目名稱Machine Learning Methods for Behaviour Analysis and Anomaly Detection in Video被引頻次學(xué)科排名




書目名稱Machine Learning Methods for Behaviour Analysis and Anomaly Detection in Video年度引用




書目名稱Machine Learning Methods for Behaviour Analysis and Anomaly Detection in Video年度引用學(xué)科排名




書目名稱Machine Learning Methods for Behaviour Analysis and Anomaly Detection in Video讀者反饋




書目名稱Machine Learning Methods for Behaviour Analysis and Anomaly Detection in Video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 20:34:03 | 只看該作者
Olga Isupovared to as the 4Es) and it can offer meaningful contributions to educational research and practice, including the re-evaluation of the role of the body in educational experiences. To discuss the reciprocal relevance of EC and phenomenological pedagogy, in this paper we start by shortly reviewing the
板凳
發(fā)表于 2025-3-22 01:36:14 | 只看該作者
Olga Isupovared to as the 4Es) and it can offer meaningful contributions to educational research and practice, including the re-evaluation of the role of the body in educational experiences. To discuss the reciprocal relevance of EC and phenomenological pedagogy, in this paper we start by shortly reviewing the
地板
發(fā)表于 2025-3-22 08:04:24 | 只看該作者
Olga Isupovaof neurocognitive research, turning the parental figure into a follower of expert driven neuroguidelines. Neuroparenting is illustrative hereof. Since neuroscientific knowledge has become integral to the ways in which people have come to think of and shape parenting, the question how the increasing
5#
發(fā)表于 2025-3-22 10:15:58 | 只看該作者
6#
發(fā)表于 2025-3-22 14:22:54 | 只看該作者
7#
發(fā)表于 2025-3-22 18:07:07 | 只看該作者
Olga Isupovaskussion des Forschungsstandes muss daher notgedrungen ein mehr oder weniger grober überblick über die wichtigsten Ans?tze sein. Was jedoch ein ?wichtiger‘ Ansatz ist, l?sst sich so einfach natürlich nicht sagen. In der folgenden Auseinandersetzung mit sozialwissenschaftlichen Identit?tstheorien wur
8#
發(fā)表于 2025-3-22 23:13:01 | 只看該作者
raumbezogenen Identit?tsforschung dominiert eine dualistische Sichtweise, die den K?rper vom Geist und den Menschen von seiner Umwelt trennt. Ortsbezogene, lokale und auch materielle Kontexte sowie die leiblichen, affektiven oder irrationalen Dimensionen unserer Erfahrungen werden au?er Acht gelass
9#
發(fā)表于 2025-3-23 04:01:31 | 只看該作者
Introduction,al processing and other areas for mining meaningful information from raw video data. The availability of cheap sensors and need for solving intelligent tasks facilitate the growth of interest in this area.
10#
發(fā)表于 2025-3-23 09:10:16 | 只看該作者
,Proposed Learning Algorithms for?Markov Clustering Topic Model,ent typical motion patterns in an observed scene. These patterns can be used for semantic understanding of the typical activities happening within the scene. They can also be used to detect abnormal events. Likelihood of newly observed data is employed as a measure of normality. If something atypica
 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 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| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-13 01:43
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
福清市| 株洲市| 阜新| 四川省| 明水县| 蒙城县| 新津县| 盐边县| 永靖县| 涿鹿县| 乐安县| 济南市| 安陆市| 巢湖市| 万荣县| 五家渠市| 交城县| 读书| 江津市| 崇义县| 棋牌| 虞城县| 闵行区| 大邑县| 武强县| 商南县| 鸡西市| 建水县| 杨浦区| 安义县| 临夏市| 财经| 健康| 张家川| 阿城市| 泰宁县| 夏津县| 衢州市| 金溪县| 诸暨市| 正镶白旗|