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We present a Bayesian approach to inverse scattering problems of reconstructing the rotation angle in clockwise direction of an acoustically sound-soft obstacle from phaseless far-field data in two di...
Tourism volume forecasting is the hot topic in tourism management, and deep learning techniques as the promising tool are becoming popular for capturing the characteristics of tourism volume data, whi...
The MIT School of Engineering and Pillar VC today announced the MIT-Pillar AI Collective, a one-year pilot program funded by a gift from Pillar VC that will provide seed grants for projects in artific...
An interdisciplinary team of Cornell and Harvard University researchers developed a machine learning tool to parse quantum matter and make crucial distinctions in the data, an approach that will help ...
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...
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...
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...
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 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...
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 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...
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...
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...
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...

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