CitySepctrum: A Non-negative Tensor Factorization approach 论文笔记

时间 2021-01-02

标签普适计算 slide 张量分析繁體版

原文原文链接

这篇论文是 UbiComp 2014 的论文，UbiComp 是普适计算 CCF A 类会议，但是我从来没接触过普适计算，所谓总觉得这篇 paper 没干啥，就是提了一个 NTF（非负张量分解），然后把这个方法应用在了很多场景，重点在运用。paper 中讲了好几个实际运用的例子，我这个 slide 里面只提了两个。

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1. 读书笔记：Overlapping Community Detection at Scale: A Nonnegative Matrix Factorization Approach
2. 论文笔记：Tensor Factorization for Low-Rank Tensor Completion
3. 一起学习写论文: Multi-view Clustering via Joint Nonnegative Matrix Factorization
4. 论文笔记-Factorization Machines
5. 论文解读：Multi-view Clustering via Joint Nonnegative Matrix Factorization
6. 【论文笔记】A Neural Approach to Automated Essay Scoring
7. From Depth Data to Head Pose Estimation: a Siamese approach----论文阅读笔记
8. 论文笔记：Attributed Graph Clustering: A Deep Attentional Embedding Approach
9. Towards a Diffraction-based Sensing Approach on Human Activity Recognition论文阅读笔记
10. 《A Multi-task Approach for Named Entity Recognition in Social Media Data》论文笔记

>>更多相关文章<<