开课单位--新加坡国立大学
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Mixup for Node and Graph Classification[节点和图分类的混合]
Yiwei Wang(新加坡国立大学) Mixup for Node and Graph Classification
热度:133
Yiwei Wang(新加坡国立大学) Mixup for Node and Graph Classification
热度:133
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MSTREAM: Fast Anomaly Detection in Multi-Aspect Streams[MSTREAM:多方面流中的快速异常检测]
Siddharth Bhatia(新加坡国立大学) MSTREAM: Fast Anomaly Detection in Multi-Aspect Streams
热度:41
Siddharth Bhatia(新加坡国立大学) MSTREAM: Fast Anomaly Detection in Multi-Aspect Streams
热度:41
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It’s Not Just the Site, it’s the Contents: Intra-domain Fingerprinting Social Media Websites Through CDN Bursts[不仅仅是网站,还有内容:通过CDN突发对社交媒体网站进行域内指纹识别]
Kailong Wang(新加坡国立大学) It’s Not Just the Site, it’s the Contents: Intra-domain Fingerprinting Social Media Websites Through CDN Bursts
热度:23
Kailong Wang(新加坡国立大学) It’s Not Just the Site, it’s the Contents: Intra-domain Fingerprinting Social Media Websites Through CDN Bursts
热度:23
![](functions/showpic.php?filename=2022041909250336.png)
CurGraph: Curriculum Learning for Graph Classification[CurGraph:图形分类的课程学习]
Yiwei Wang(新加坡国立大学) CurGraph: Curriculum Learning for Graph Classification
热度:43
Yiwei Wang(新加坡国立大学) CurGraph: Curriculum Learning for Graph Classification
热度:43
![](functions/showpic.php?filename=2022041806513197.png)
Learning Intents behind Interactions with Knowledge Graph for Recommendation[与推荐知识图交互后的学习意图]
Xiang Wang(新加坡国立大学) Learning Intents behind Interactions with Knowledge Graph for Recommendation
热度:39
Xiang Wang(新加坡国立大学) Learning Intents behind Interactions with Knowledge Graph for Recommendation
热度:39
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Feature Selection for Support Vector Regression Using Probabilistic Prediction[基于概率预测的支持向量回归特征选择]
Jian-Bo Yang(新加坡国立大学) This paper presents a novel wrapper-based feature selection method for Support Vector Regression (SVR) using its probabilistic predictions. The method...
热度:80
Jian-Bo Yang(新加坡国立大学) This paper presents a novel wrapper-based feature selection method for Support Vector Regression (SVR) using its probabilistic predictions. The method...
热度:80
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Modeling the Digital Camera Pipeline: From RAW to sRGB and Back[数码相机流水线的建模:从原始到sRGB再到回来]
Michael S. Brown(新加坡国立大学) This talk presents a study of the in-camera imaging process through an extensive analysis of more than 10,000 images from over 30 cameras. The goal is...
热度:116
Michael S. Brown(新加坡国立大学) This talk presents a study of the in-camera imaging process through an extensive analysis of more than 10,000 images from over 30 cameras. The goal is...
热度:116
![](functions/showpic.php?filename=2015112205353135.png)
Modeling the Digital Camera Pipeline: From RAW to sRGB and Back[数码相机的管道建模:从原材料到sRGB和回]
Michael S. Brown(新加坡国立大学) This talk presents a study of the in-camera imaging process through an extensive analysis of more than 10,000 images from over 30 cameras. The goal is...
热度:74
Michael S. Brown(新加坡国立大学) This talk presents a study of the in-camera imaging process through an extensive analysis of more than 10,000 images from over 30 cameras. The goal is...
热度:74
![](functions/showpic.php?filename=2015111108011363.jpg)
A New Texture Descriptor Using Multifractal Analysis in Multi-orientation Wavelet Pyramid[一种新的多重分形分析的多方向小波金字塔纹理描述符]
Hui Ji(新加坡国立大学) Based on multifractal analysis in wavelet pyramids of texture images, a new texture descriptor is proposed in this paper that implicitly combines info...
热度:61
Hui Ji(新加坡国立大学) Based on multifractal analysis in wavelet pyramids of texture images, a new texture descriptor is proposed in this paper that implicitly combines info...
热度:61