Finding k-dominant skylines in high dimensional space

By Chee-Yong Chan, Hosagrahar Visvesvaraya Jagadish, Kian-Lee Tan, Anthony K. H. Tung, Zhenjie Zhang. SIGMOD Conference, 2006

484 citations recorded by the source corpus.

Subfields: Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, Signal Processing

View Paper: https://www.semanticscholar.org/paper/dcb4c7d69cbf07968dd89ac5e248144c9b2e3411

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Vision and Pattern Recognition

1. Ying Zhang
2. Jian Pei
3. Xuemin Lin

In Signal Processing

1. Ying Zhang
2. Jian Pei
3. Qing Zhang
4. Xuemin Lin
5. Yidong Yuan
6. Cynthia Rudin
7. Jiawei Han
8. Tong Wang

Citations in the corpus

• Probabilistic Skylines on Uncertain Data (2007, background): “Uncertain data are inherent in some important applications, such as environmental surveillance, market analysis, and quantitative economics research.”
• Selecting Stars: The k Most Representative Skyline Operator (2007, methodology): “The problem of selecting data points with some designated dominance properties has been recently investigated in [8, 7, 21, 29].”