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SDM
2008
SIAM
117views Data Mining» more  SDM 2008»
13 years 9 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»
14 years 1 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
13 years 11 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»
14 years 1 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
13 years 2 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