Santanu Das

Member since: Sep 29, 2010, UARC/NASA Ames Research Center

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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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  • 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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  • Highly Scalable Matching Pursuit Signal Decomposition Algorithm

    A Publication, Ashok Srivastava's Collection - 10 years, 3 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 ...

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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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  • Classification of Damage Signatures in Composite Plates using On

    A Publication, Santanu Das's Collection - 13 years, 7 months 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 ...

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  • Algorithms for Spectral Decomposition with Applications

    A Publication, Ashok Srivastava's Collection - 10 years, 3 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 ...

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  • Detection and Prognostics on Low Dimensional Systems

    A Publication, Ashok Srivastava's Collection - 10 years, 3 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 ...

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  • nu-Anomica algorithm

    An Algorithm, Santanu Das's Collection - 12 years, 3 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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  • Highly Scalable Matching Pursuit Signal Decomposition Algorithm

    An Algorithm, Santanu Das's Collection - 13 years 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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  • Multiple Kernel Learning based Heterogeneous Algorithm

    A Publication, Santanu Das's Collection - 13 years, 7 months ago

    Shared By: Santanu Das

    Paper on this topic has been submitted to KDD 2010.

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Santanu's Projects (11)

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