开课单位--新加坡国立大学
1
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:151
Yiwei Wang(新加坡国立大学) Mixup for Node and Graph Classification
热度:151
2
3
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:46
Siddharth Bhatia(新加坡国立大学) MSTREAM: Fast Anomaly Detection in Multi-Aspect Streams
热度:46
4
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:31
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:31
5
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:50
Yiwei Wang(新加坡国立大学) CurGraph: Curriculum Learning for Graph Classification
热度:50
6
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:44
Xiang Wang(新加坡国立大学) Learning Intents behind Interactions with Knowledge Graph for Recommendation
热度:44
7
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:88
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:88
8
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:123
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:123
9
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:78
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:78
10
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:68
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:68