Tools to Mine and Index Trajectories of Physical Artifacts
挖掘和索引物理文物轨迹的工具
基本信息
- 批准号:0803410
- 负责人:
- 金额:$ 80.5万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Continuing Grant
- 财政年份:2008
- 资助国家:美国
- 起止时间:2008-09-01 至 2012-08-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
AbstractIIS - 0803410Tools to Mine and Index Trajectories of Physical ArtifactsKeogh, EamonnUniversity of California-RiversideThe project proposes to develop computational methods and tools for the discovery of spatio-temporal patterns in the distribution and historical development of physical artifacts important to anthropology including the development of a shape recognition system that allows researchers to compare numerous projectile points and petroglyphs according to several criteria. This will involve creation of a set of definitions/ data representations/predicates/algorithms and intuitive and usable software tools to enable the study of the spatio-temporal spread of physical objects. The proposal uses innovative technology to apply to questions central to archaeology. but which also has broad applicability to research in other, diverse domans.
IIS-0803410挖掘和索引物理人工制品轨迹的工具该项目建议开发计算方法和工具,用于发现对人类学重要的物理人工制品的分布和历史发展中的时空模式,包括开发一种形状识别系统,使研究人员能够根据几个标准比较大量的投射点和岩石图形。这将涉及创建一套定义/数据表示/谓词/算法以及直观和可用的软件工具,以便能够研究物理物体的时空扩散。该提案使用创新技术来解决考古学的核心问题。但它对其他不同领域的研究也具有广泛的适用性。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Eamonn Keogh其他文献
Irrevocable-choice algorithms for sampling from a stream
- DOI:
10.1007/s10618-016-0472-z - 发表时间:
2016-06-30 - 期刊:
- 影响因子:4.300
- 作者:
Yan Zhu;Eamonn Keogh - 通讯作者:
Eamonn Keogh
Beyond one billion time series: indexing and mining very large time series collections with $$i$$ SAX2+
- DOI:
10.1007/s10115-012-0606-6 - 发表时间:
2013-02-16 - 期刊:
- 影响因子:3.100
- 作者:
Alessandro Camerra;Jin Shieh;Themis Palpanas;Thanawin Rakthanmanon;Eamonn Keogh - 通讯作者:
Eamonn Keogh
Correction to: Domain agnostic online semantic segmentation for multi-dimensional time series
- DOI:
10.1007/s10618-019-00618-2 - 发表时间:
2019-02-14 - 期刊:
- 影响因子:4.300
- 作者:
Shaghayegh Gharghabi;Chin-Chia Michael Yeh;Yifei Ding;Wei Ding;Paul Hibbing;Samuel LaMunion;Andrew Kaplan;Scott E. Crouter;Eamonn Keogh - 通讯作者:
Eamonn Keogh
Dimensionality Reduction for Fast Similarity Search in Large Time Series Databases
- DOI:
10.1007/pl00011669 - 发表时间:
2001-08-01 - 期刊:
- 影响因子:3.100
- 作者:
Eamonn Keogh;Kaushik Chakrabarti;Michael Pazzani;Sharad Mehrotra - 通讯作者:
Sharad Mehrotra
The great time series classification bake off: a review and experimental evaluation of recent algorithmic advances
- DOI:
10.1007/s10618-016-0483-9 - 发表时间:
2016-11-23 - 期刊:
- 影响因子:4.300
- 作者:
Anthony Bagnall;Jason Lines;Aaron Bostrom;James Large;Eamonn Keogh - 通讯作者:
Eamonn Keogh
Eamonn Keogh的其他文献
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{{ truncateString('Eamonn Keogh', 18)}}的其他基金
III: Medium: Collaborative Research: Scaling Time Series Analytics to Massive Seismology Datasets
III:媒介:协作研究:将时间序列分析扩展到海量地震数据集
- 批准号:
2103976 - 财政年份:2021
- 资助金额:
$ 80.5万 - 项目类别:
Continuing Grant
Discovery Projects - Grant ID: DP210100072
发现项目 - 拨款 ID:DP210100072
- 批准号:
ARC : DP210100072 - 财政年份:2021
- 资助金额:
$ 80.5万 - 项目类别:
Discovery Projects
NRT-DESE: NRT in Integrated Computational Entomology (NICE)
NRT-DESE:综合计算昆虫学 (NICE) 中的 NRT
- 批准号:
1631776 - 财政年份:2016
- 资助金额:
$ 80.5万 - 项目类别:
Standard Grant
RI: Medium: Machine Learning for Agricultural and Medical Entomology
RI:媒介:农业和医学昆虫学的机器学习
- 批准号:
1510741 - 财政年份:2015
- 资助金额:
$ 80.5万 - 项目类别:
Standard Grant
REU Site: RE-ICE: Research Experiences in Integrated Computational Entomology
REU 网站:RE-ICE:综合计算昆虫学的研究经验
- 批准号:
1452367 - 财政年份:2015
- 资助金额:
$ 80.5万 - 项目类别:
Standard Grant
III: Medium: Hardware/Software Accelerated Data Mining for Real-Time Monitoring of Streaming Pediatric ICU Data
III:媒介:用于实时监控流式儿科 ICU 数据的硬件/软件加速数据挖掘
- 批准号:
1161997 - 财政年份:2012
- 资助金额:
$ 80.5万 - 项目类别:
Continuing Grant
III-CXT-Large: Collaborative Research: Interactive and intelligent searching of biological images by query and network navigation with learning capabilities
III-CXT-Large:协作研究:通过具有学习能力的查询和网络导航对生物图像进行交互式和智能搜索
- 批准号:
0808770 - 财政年份:2008
- 资助金额:
$ 80.5万 - 项目类别:
Standard Grant
CAREER: Efficient Discovery of Previously Unknown Patterns and Relationships in Massive Time Series Databases
职业:在海量时间序列数据库中有效发现以前未知的模式和关系
- 批准号:
0237918 - 财政年份:2003
- 资助金额:
$ 80.5万 - 项目类别:
Continuing Grant
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