Detecting Anomalies in Multivariate Data Sets with Switching Sequences and Continuous Streams

A Publication, Kanishka Bhaduri's Collection - 13 years, 11 months ago

Shared By: Kanishka Bhaduri

Anomica: Fast Support Vector Based Novelty Detection

A Publication, Ashok Srivastava's Collection - 10 years, 9 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 ...

Highly Scalable Matching Pursuit Signal Decomposition Algorithm

A Publication, Ashok Srivastava's Collection - 10 years, 9 months ago

Shared By: Ashok Srivastava

In this research, we propose a variant of the classical Matching Pursuit Decomposition (MPD) algorithm with significantly improved scalability and computational performance. MPD is a ...

Data Mining at NASA: From Theory to Applications

A Publication, Ashok Srivastava's Collection - 10 years, 9 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 ...

Classification of Damage Signatures in Composite Plates using On

A Publication, Santanu Das's Collection - 14 years ago

Shared By: Santanu Das

Damage characterization through wave propagation and scattering is of considerable interest to many non-destructive evaluation techniques. For fiber-reinforced composites, complex waves can be generated during ...

Algorithms for Spectral Decomposition with Applications

A Publication, Ashok Srivastava's Collection - 10 years, 9 months ago

Shared By: Ashok Srivastava

The analysis of spectral signals for features that represent physical phenomenon is ubiquitous in the science and engineering communities. There are two main approaches that ...

Detection and Prognostics on Low Dimensional Systems

A Publication, Ashok Srivastava's Collection - 10 years, 9 months ago

Shared By: Ashok Srivastava

This paper describes the application of known and novel prognostic algorithms on systems that can be described by low dimensional, potentially nonlinear dynamics. The methods ...

nu-Anomica algorithm

An Algorithm, Santanu Das's Collection - 12 years, 9 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 ...

Highly Scalable Matching Pursuit Signal Decomposition Algorithm

An Algorithm, Santanu Das's Collection - 13 years, 5 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, ...