Global ETD Search

Combine Shapelets

Qingwen, Zeng

lmu Repository record for Combine Shapelets (opens in a new tab)

Enhancing Machine Learning Classification for Electrical Time Series with Additional Domain Applications

Valovage, Mark2019

… electricity disaggregation and time series shapelets. However, the contributions below can be applied to dozens of other domains. Electricity disaggregation identifies individual appliances from one or more aggregate data streams. In first world countries, disaggregation has the potential to …

umn Repository record for Enhancing Machine Learning Classification for Electrical Time Series with Additional Domain Applications (opens in a new tab)

Mining time-series data using discriminative subsequences

Hills, Jonathan F. F.University of East Anglia2014

… increase interpretability: First, we cluster the shapelets using a novel, parameterless clustering method based on Minimum Description Length, reducing dimensionality and removing duplicate shapelets. Second, we transform the shapelet data into binary data reflecting the presence or absence of …

east-anglia Repository record for Mining time-series data using discriminative subsequences (opens in a new tab)

Gravitationally lensed image simulations for the study of the substructure in galaxy clusters

Peeples, Molly SMassachusetts Institute of Technology2005

… generating such a set of simulated images using shapelets (Massey et al. (2005)). These images use a catalog of galaxies from the Hubble Space Telescope data taken as part of the Cosmos Evolution Survey (COSMOS). The background galaxies are then lensed by a 1015M galaxy cluster set at a redshift …

mit Repository record for Gravitationally lensed image simulations for the study of the substructure in galaxy clusters (opens in a new tab)

Morphometric Otolith Analysis

Mapp, JUniversity of East Anglia2015

… to shape modelling techniques (time-series shapelets) to determine which performs best. An investigation is carried out into transform methods that retain size-information, and whether the boundary encoding method is impacted be otolith age, performing tests over three 2-class otolith …

east-anglia Repository record for Morphometric Otolith Analysis (opens in a new tab)

Time Series classification through transformation and ensembles

Lines, JasonUniversity of East Anglia2015

… allows complex classifiers to be coupled with shapelets, which outperforms the original algorithm and is competitive with DTW. Finally, we combine these two works with with heterogeneous ensembles built on autocorrelation and spectral-transformed data to propose a collective of …

east-anglia Repository record for Time Series classification through transformation and ensembles (opens in a new tab)