搜索结果: 1-15 共查到“人工智能 data”相关记录21条 . 查询时间(0.234 秒)
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars:Bayesian Approach to Determining the Orientation of Sound-soft Obstacles with Phaseless Data via Wasserstein Distance
Wasserstein距离 贝叶斯方法 无相数据 软声障碍物
2023/4/27
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars:A novel deep learning approach for tourism volume forecasting with tourist search data
游客搜索数据 旅游量预测 深度学习方法
2023/5/8
New program to support translational research in AI, data science, and machine learning(图)
人工智能 数据科学 机器学习转化
2023/6/20
西北工业大学举办2018 IEEE Brain Data Bank Competition(图)
西北工业大学 2018 IEEE Brain Data Bank Competition
2018/8/7
2018年7月7日、8日,第九届脑启发认知系统会议在西安召开,会议由西北工业大学软件与微电子学院承办,英国斯克莱德大学、英国斯特灵大学、广东技术师范大学及广州市教学内容处理及安全性技术重点实验室协办。IEEE Brain Data Bank Competition(以下简称BDB)随会议同时举办,我校参赛团队荣获国际三等奖。本次竞赛旨在通过分析加州大学旧金山分校的NeruoRacer数据集,结合数...
THE EMERGENCE OF SOCIAL MEDIA FOR NATURAL DISASTERS MANAGEMENT: A BIG DATA PERSPECTIVE
Social media Big Data Twitter real-time disaster management civil protection GIS
2018/4/18
Social media is rapidly emerging as a potential resource of information capable to support natural disasters management. Despite the growing research interest focused on using social media during natu...
By 2019, big data and business analytics sales are expected to pull in $187 billion worldwide. Already making waves in this sector is Ayasdi, a company founded by a renowned mathematician and NSF awar...
MULTI-MODAL REMOTE SENSING DATA FUSION FRAMEWORK
Deep Learning Convolutional Neural Networks Super resolution Crowd-sourced data Data fusion
2017/8/10
The inconsistency between the freely available remote sensing datasets and crowd-sourced data from the resolution perspective forms a big challenge in the context of data fusion. In classical classifi...
2017年IEEE国际智能数据会议(The 2017 IEEE International Conference on Smart Data )(SmartData-2017)
2017年 IEEE国际智能数据 会议
2017/3/28
Smart Data aims to filter out the noise and produce the valuable data, which can be effectively used by enterprises and governments for planning, operation, monitoring, control, and intelligent decisi...
The 12th International Conference on Advanced Data Mining and Applications (ADMA 2016)
data mining software and systems
2016/7/19
The year 2016 marks the 12th aniversary of the International Conference on Advanced Data Mining and Applications (ADMA 2016), which will be held in Gold Coast, Australia, 12-15 Dec 2016. It is our gre...
Delay-Aware Predictive Network Selection in Data Offloading
Delay-Aware Predictive Network Selection Data Offloading
2016/1/22
We tackle the network selection problem in operator-initiated mobile data offloading by considering both the predictive and non-predictive cases. For the non predictive case, we use the Lyapunov optim...
Lexvo.org: Language-Related Information for the Linguistic Linked Data Cloud
languages lexical information
2016/1/22
Lexvo.org brings information about languages, words, and other linguistic entities to the Web of Linked Data. It defines URIs for terms, languages, scripts, and characters, which are not only highly i...
Inferring stable genetic networks from steady-state data
Genetic network identi cation convex optimization semide
2015/8/7
Gene regulatory networks capture the interactions between genes and other cell substances, resulting from the fundamental biological process of transcription and translation. In some applications, the...
How to Solve Classification and Regression Problems on High-Dimensional Data with a Supervised Extension of Slow Feature Analysis
Slow feature analysis feature extraction classifi cation regression pattern recognition training graphs nonlinear dimensionality reduction supervised learning high-dimensional data implicitly supervised image analysis
2015/7/10
Supervised learning from high-dimensional data, e.g., multimedia data, is a challenging task. We propose an extension of slow feature analysis (SFA) for supervised dimensionality reduction called grap...
Application of Artificial Neural Network Technology in Water Color Remote Sensing Inversion of Inland Water Body Using Tm Data
Artificial Neural Network Model Water Color Remote Sensing Extraction Lake Landsat Image
2015/7/8
For water color remote sensing study of inland water body, terrestrial satellite is often a good data source, because it has high spatial
resolution. However, the precision of water color remote sens...