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PRAIg '16 / +pics

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AERFAI Summer School on Deep Learning

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Alicante July 5-6, 2017

10th international workshop on Machine Learning and Music

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Barcelona: 16th October 2017

Publications:

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  1. Serrano, A.; Micó, L.;Oncina, J.
    "Restructuring Versus non Restructuring Insertions in MDF Indexes"
    ICPRAM 2012: 1st International Conference on Pattern Recognition Applications and Methods, ISBN: 978-989-8425-98-0, pp. 474--480, Vilamoura, Portugal (2012)
    : bibtex : pdf
    Abstract:

    MDF tree is a data structure (index) that is used to speed up similarity searches in huge databases. To achieve its goal the indexes should exploit some property of the dissimilarity measure. MDF indexes assume that the dissimilarity measure can be viewed as a distance in a metric space. Moreover, in this framework is assumed that the distance is computationally very expensive and then, counting distance computations is a good measure of the time complexity. To tackle with a changing world, a problem arises when new points should be inserted in the index. Efficient algorithms should choose between trying to be efficient in search maintaining the “ideal” structure of the index or trying to be efficient when inserting but worsening the search time. In this work we propose an insertion algorithm for MDF trees that focus on optimizing insertion times. The worst case time complexity of the algorithm only depends on the depth of the MDF tree. We compare this algorithm with a similar one that focuses on search time performance. We also study the range of applicability of each one.

@inproceedings {
 author = "Serrano, A.; Micó, L.;Oncina, J.",
 title  = "Restructuring Versus non Restructuring Insertions in MDF Indexes",
 address = "Vilamoura, Portugal",
 booktitle = "ICPRAM 2012: 1st International Conference on Pattern Recognition Applications and Methods",
 editor = "Pedro Latorre Carmona, J. Salvador Sánchez and Ana Fred",
 isbn = "978-989-8425-98-0",
 month = "February",
 organization = "INSTICC",
 pages = "474--480",
 publisher = "SciTePress",
 year = "2012"
}
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