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Fast and Flexible Multivariate Time Series Subsequence Search
A Publication, Kanishka Bhaduri's Collection - 13 years, 5 months ago
Shared By: Kanishka Bhaduri
Multivariate Time-Series (MTS) are ubiquitous, and are generated in areas as disparate as sensor recordings in aerospace systems, music and video streams, medical monitoring, and ...
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MULTI-LABEL ASRS DATASET CLASSIFICATION USING SEMI-SUPERVISED SUBSPACE CLUSTERING
A Publication, Conference on Intelligent Data Understanding 2010 (CIDU) - 13 years, 6 months ago
Shared By: Elizabeth Foughty
MULTI-LABEL ASRS DATASET CLASSIFICATION USING SEMI-SUPERVISED SUBSPACE CLUSTERING MOHAMMAD SALIM AHMED, LATIFUR KHAN, NIKUNJ OZA, AND MANDAVA RAJESWARI Abstract. There has been a lot of ...
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Virtual Sensors: Efficiently Estimating Missing Spectra
A Publication, Nikunj Oza's Collection - 13 years, 7 months ago
Shared By: Nikunj Oza
Various instruments are used to create images of the Earth and other objects in the universe in a diverse set of wavelength bands with the ...
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Detecting Anomalies in Multivariate Data Sets with Switching Sequences and Continuous Streams
A Publication, Kanishka Bhaduri's Collection - 13 years, 5 months ago
Shared By: Kanishka Bhaduri
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Unsupervised Anomaly Detection for Liquid-Fueled Rocket Prop...
A Publication, MARK SCHWABACHER's Collection - 13 years, 7 months ago
Shared By: MARK SCHWABACHER
Title: Unsupervised Anomaly Detection for Liquid-Fueled Rocket Propulsion Health Monitoring. Abstract: This article describes the results of applying four unsupervised anomaly detection algorithms to data ...
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Anomica: Fast Support Vector Based Novelty Detection
A Publication, Ashok Srivastava's Collection - 10 years, 3 months ago
Shared By: Ashok Srivastava
In this paper we propose ν-Anomica, a novel anomaly detection technique that can be trained on huge data sets with much reduced running time compared ...
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Data Mining at NASA: From Theory to Applications
A Publication, Ashok Srivastava's Collection - 10 years, 3 months ago
Shared By: Ashok Srivastava
NASA has some of the largest and most complex data sources in the world, with data sources ranging from the earth sciences, space sciences, and ...
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Comparison of Unsupervised Anomaly Detection Methods
A Publication, Ashok Srivastava's Collection - 10 years, 3 months ago
Shared By: Ashok Srivastava
Several different unsupervised anomaly detection algorithms have been applied to Space Shuttle Main Engine (SSME) data to serve the purpose of developing a comprehensive suite ...
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A Publication, Multiple Kernel Learning based Heterogeneous Algorithm (MKAD) - 13 years, 7 months ago
Shared By: Bryan Matthews
The world-wide aviation system is one of the most complex dynamical systems ever developed and is generating data at an extremely rapid rate. Most modern ...
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Deep Learning for Aviation ...
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