See All Resources (857)
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An Algorithm, Santanu Das's Collection - 13 years, 2 months ago
Shared By: Santanu Das
One-class nu-Support Vector machine (SVMs) learning technique maps the input data into a much higher dimensional space and then uses a small portion of the ...
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An Algorithm, Indir Jaganjac's Collection - 14 years, 5 months ago
Shared By: Indir Jaganjac
power cepstrum of sound, speech and vibrations using log of power spectrum estimation (periodogram)
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An Algorithm, Indir Jaganjac's Collection - 14 years, 5 months ago
Shared By: Indir Jaganjac
Blind source separation in Simulink using STFT and inverse STFT (Signal processing blockset).
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An Algorithm, Indir Jaganjac's Collection - 14 years, 5 months ago
Shared By: Indir Jaganjac
Matrikon OPC server Recurrent NARX NNs LWPR
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Highly Scalable Matching Pursuit Signal Decomposition Algorithm
An Algorithm, Santanu Das's Collection - 13 years, 11 months ago
Shared By: Santanu Das
The Matching Pursuit Decomposition (MPD) algorithm is a greedy feature extraction algorithm with many applications, especially in Structural Health Monitoring (SHM). The algorithm is powerful, ...
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An Algorithm, Ashok Srivastava's Collection - 11 years, 2 months ago
Shared By: Ashok Srivastava
The code in the stableGP package implements Gaussian process calculations using efficient and numerically stable algorithms. Description of the algorithms is in the paper "Stable ...
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An Algorithm, Sriram Narasimhan's Collection - 14 years, 6 months ago
Shared By: Sriram Narasimhan
HyDE is a model-based diagnosis engine for stochastic hybrid systems. HyDE uses transitional and behavioral models of the system to diagnose the occurrence of unobserved ...
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An Algorithm, MARK SCHWABACHER's Collection - 14 years, 6 months ago
Shared By: MARK SCHWABACHER
Orca is a data-driven, unsupervised anomaly detection algorithm that uses a distance-based approach. It uses a novel pruning rule that allows it to run in ...
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Inductive Monitoring System (IMS)
An Algorithm, DAVID IVERSON's Collection - 14 years, 6 months ago
Shared By: DAVID IVERSON
IMS: Inductive Monitoring System The Inductive Monitoring System (IMS) is a tool that uses a data mining technique called clustering to extract models of normal ...
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An Algorithm, Optimal Alarm Systems for Anomaly Detection - 10 years, 3 months ago
Shared By: RODNEY MARTIN
An optimal alarm system is simply an optimal level-crossing predictor that can be designed to elicit the fewest false alarms for a fixed detection probability. ...
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Mixture Density Mercer Kernels
An Algorithm, Ashok Srivastava's Collection - 11 years, 2 months ago
Shared By: Ashok Srivastava
We present a method of generating Mercer Kernels from an ensemble of probabilistic mixture models, where each mixture model is generated from a Bayesian mixture ...
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An Algorithm, DAWN MCINTOSH's Collection - 14 years, 5 months ago
Shared By: DAWN MCINTOSH
The Mariana source code has been open sourced. Download the tar file Mariana.tgz below. I would love feedback. Mariana is an auto-classifier algorithm that efficiently ...
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Recurring Anomaly Detection System (ReADS)
An Algorithm, DAWN MCINTOSH's Collection - 14 years, 5 months ago
Shared By: DAWN MCINTOSH
Overview: ReADS can analyze text reports, such as aviation reports and problem or maintenance records. ReADS uses text clustering algorithms to group loosely related reports ...
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An Algorithm, Suratna Budalakoti's Collection - 14 years, 5 months ago
Shared By: Suratna Budalakoti
Detecting and describing anomalies in large repositories of discrete symbol sequences. sequenceMiner has been open-sourced! Download the file below to try it out. sequenceMiner was ...
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Spectral Decomposition Algorithm (SDA)
An Algorithm, Bryan Matthews's Collection - 14 years, 6 months ago
Shared By: Bryan Matthews
Spectral Decomposition Algorithm (SDA) is an unsupervised feature extraction technique similar to PCA that was developed to better distinguish spectral features in the space shuttle ...