Multiple Features based database indexing of Light Curves
People:
Rahul Dave, Pavlos Protopapas.This projects role is to make advanced research output products widely and quickly available. Feture space representations for light curves include spectral methods, wavelets, Singular Value Decomposition, segmentation methods and PAA, and discretization methods that transform the real-value time series into an alphabetic sequence (often reducing dimensionality as well) and include SAX and Persist. Databasing light curves by creating indexes using these representations allows for morphological, feature, or anomaly searches. We are developing streaming, multi-index database technology to make fast and efficient queries on very large sets of light curves.
Publications:
No publications are listed for this project.
Last Updated at: 2007-09-29 01:48 PM.