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SDM
2008
SIAM
117views Data Mining» more  SDM 2008»
14 years 11 months ago
A Feature Selection Algorithm Capable of Handling Extremely Large Data Dimensionality
With the advent of high throughput technologies, feature selection has become increasingly important in a wide range of scientific disciplines. We propose a new feature selection ...
Yijun Sun, Sinisa Todorovic, Steve Goodison
PKDD
2005
Springer
94views Data Mining» more  PKDD 2005»
15 years 3 months ago
Visual Terrain Analysis of High-Dimensional Datasets
Abstract. Most real-world datasets are, to a certain degree, skewed. When considered that they are also large, they become the pinnacle challenge in data analysis. More importantly...
Wenyuan Li, Kok-Leong Ong, Wee Keong Ng
VISUALIZATION
1996
IEEE
15 years 1 months ago
Visualization of Laser Confocal Microscopy Datasets
This paper presents an example of how existing visualization methods can be successfully applied { after minor modi cations { for allowing new, sometimes unexpected insight in sci...
Georgios Sakas, Michael G. Vicker, Peter Jörg...
ICDM
2005
IEEE
133views Data Mining» more  ICDM 2005»
15 years 3 months ago
Parameter-Free Spatial Data Mining Using MDL
Consider spatial data consisting of a set of binary features taking values over a collection of spatial extents (grid cells). We propose a method that simultaneously finds spatia...
Spiros Papadimitriou, Aristides Gionis, Panayiotis...
PAMI
2011
14 years 4 months ago
Action Recognition Using Mined Hierarchical Compound Features
—The field of Action Recognition has seen a large increase in activity in recent years. Much of the progress has been through incorporating ideas from single frame object recogn...
Andrew Gilbert, John Illingworth, Richard Bowden