Reliable shapelet image analysis

Reliable Shapelet Image Analysis

Aims. We discuss the applicability and reliability of the shapelet technique for scientific image analysis. Methods. We quantify the effects of non-orthogonality of sampled shapelet basis functions and misestimation of shapelet parameters. We perform the shapelet decomposition on artificial galaxy images with underlying shapelet models and galaxy images from the GOODS survey, comparing the publ...

Shapelet Image Analysis

Aims. We discuss the applicability and reliability of the shapelet technique for scientific image analysis. Methods. We quantify the effects of non-orthogonality of sampled shapelet basis functions and misestimation of shapelet parameters. We perform the shapelet decomposition on artificial galaxy images with underlying shapelet models and galaxy images from the GOODS survey, comparing the publ...

Reliable and Efficient Image Registration

Evaluating Improvements to the Shapelet Transform

The Shapelet tree algorithm was proposed in 2009 as a novel way to find phase independent subsequences which could be used for time series classification. The shapelet discovery algorithm is O(nm), where n is the number of cases, and m is the length of the series. Several methods have sought to increase the speed of finding shapelets. The ShapeletTransform reduces the finding to a single pass, ...

Shapelet Ensemble for Multi-dimensional Time Series

Time series shapelets are small subsequences that maximally differentiate classes of time series. Since the inception of shapelets, researchers have used shapelets for various data domains including anthropology and health care, and in the process suggested many efficient techniques for shapelet discovery. However, multi-dimensional time series data poses unique challenges to shapelet discovery...