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PRAIg '16 / +pics


AERFAI Summer School on Deep Learning


Alicante July 5-6, 2017

10th international workshop on Machine Learning and Music


Barcelona: 16th October 2017



  1. Micó, L.; Oncina, J.
    "Dynamic Insertions in TLAESA fast NN Search Algorithm"
    Proceedings of the 22nd International Conference on Pattern Recognition, ICPR, ISBN: 978-1-4799-5208-3, Stockholm, Sweden (2014)
    : bibtex : pdf

    Nearest Neighbour search (NNS) is a widely used technique in Pattern Recognition. In order to speed up the search many indexing techniques have been proposed. The need to work with large dynamic databases in interactive or online systems, has resulted in an increase interest in adapting or creating fast methods to update these indexes. TLAESA is a fast search algorithm that computes a very low number of distance computations with sublinear overhead using a branch and bound technique. In this paper, we propose a new fast updating method for the TLAESA index. The behaviour of this index has been analysed theoretical and experimentally. We have obtained a log-square upper bound of the rebuilding expected time. This bound has been verified experimentally on several synthetic and real data experiments.

@inproceedings {
 author = "Micó, L.; Oncina, J.",
 title  = "Dynamic Insertions in TLAESA fast NN Search Algorithm",
 address = "Stockholm, Sweden",
 booktitle = "Proceedings of the 22nd International Conference on Pattern Recognition, ICPR",
 isbn = "978-1-4799-5208-3",
 year = "2014"
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