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Federal
Multiple Kernel Learning for Heterogeneous Anomaly Detection: Algorithm and Aviation Safety Case Study
National Aeronautics and Space Administration —
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 commercial... -
Federal
Comparative Analysis of Data-Driven Anomaly Detection Methods
National Aeronautics and Space Administration —
This paper provides a review of three different advanced machine learning algorithms for anomaly detection in continuous data streams from a ground-test firing of a... -
Federal
ASIAS Symposium Presentations
National Aeronautics and Space Administration —
Aviation Safety Information Analysis and Sharing (ASIAS) Symposiusm Presentations: July 27-28, 2009 -
Federal
Aviation Safety 2009 IVHM Posters
National Aeronautics and Space Administration —
Posters form 2009 Aviation Safety Technical Conference -
Federal
AISRP Presentations
National Aeronautics and Space Administration —
AISRP Presentations from CIDU/AISRP 2009. -
Federal
Fast and Flexible Multivariate Time Series Subsequence Search
National Aeronautics and Space Administration —
Multivariate Time-Series (MTS) are ubiquitous, and are generated in areas as disparate as sensor recordings in aerospace systems, music and video streams, medical... -
Federal
Detecting Anomalies in Multivariate Data Sets with Switching Sequences and Continuous Streams
National Aeronautics and Space Administration —
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 commercial... -
Federal
Vehicle-Level Reasoning Systems: Integrating System-Wide data to Estimate Instantaneous Health State
National Aeronautics and Space Administration —
One of the primary goals of Integrated Vehicle Health Management (IVHM) is to detect, diagnose, predict, and mitigate adverse events during the flight of an aircraft,... -
Federal
Algorithms for Spectral Decomposition with Applications
National Aeronautics and Space Administration —
The analysis of spectral signals for features that represent physical phenomenon is ubiquitous in the science and engineering communities. There are two main... -
Federal
A Generic Local Algorithm for Mining Data Streams in Large Distributed Systems
National Aeronautics and Space Administration —
In a large network of computers or wireless sensors, each of the components (henceforth, peers) has some data about the global state of the system. Much of the... -
Federal
Scalable Distributed Change Detection from Astronomy Data Streams using Local, Asynchronous Eigen Monitoring Algorithms
National Aeronautics and Space Administration —
This paper considers the problem of change detection using local distributed eigen monitoring algorithms for next generation of astronomy petascale data pipelines... -
Federal
Scalable, Asynchronous, Distributed Eigen-Monitoring of Astronomy Data Streams
National Aeronautics and Space Administration —
In this paper, we develop a distributed algorithm for monitoring the principal components (PCs) for next generation of astronomy petascale data pipelines such as the... -
Federal
Distributed Decision-Tree Induction in Peer-to-Peer Systems
National Aeronautics and Space Administration —
This paper offers a scalable and robust distributed algorithm for decision-tree induction in large peer-to-peer (P2P) environments. Computing a decision tree in such...