Zobrazeno 1 - 10
of 46
pro vyhledávání: '"Parama, José"'
During viral infection, intrahost mutation and recombination can lead to significant evolution, resulting in a population of viruses that harbor multiple haplotypes. The task of reconstructing these haplotypes from short-read sequencing data is calle
Externí odkaz:
http://arxiv.org/abs/2112.06590
Publikováno v:
In: String Processing and Information Retrieval. SPIRE 2019. Lecture Notes in Computer Science, vol 11811. Springer
LiDAR devices obtain a 3D representation of a space. Due to the large size of the resulting datasets, there already exist storage methods that use compression and present some properties that resemble those of compact data structures. Specifically, L
Externí odkaz:
http://arxiv.org/abs/1912.11859
Publikováno v:
PLoS ONE 15(1): e0226943
In this work, we propose a framework to store and manage spatial data, which includes new efficient algorithms to perform operations accepting as input a raster dataset and a vector dataset. More concretely, we present algorithms for solving a spatia
Externí odkaz:
http://arxiv.org/abs/1912.11866
Publikováno v:
Information Sciences, 2019, vol. 483, p. 106-135
We introduce a compressed data structure for the storage of free trajectories of moving objects (such as ships and planes) that efficiently supports various spatio-temporal queries. Our structure, dubbed GraCT, stores the absolute positions of all th
Externí odkaz:
http://arxiv.org/abs/1911.04198
Publikováno v:
String Processing and Information Retrieval: 25th International Symposium, SPIRE 2018, Lima, Peru, October 9-11, 2018, Proceedings. Springer International Publishing. pp 102-116. ISBN: 9783030004781
Much research has been published about trajectory management on the ground or at the sea, but compression or indexing of flight trajectories have usually been less explored. However, air traffic management is a challenge because airspace is becoming
Externí odkaz:
http://arxiv.org/abs/1812.10974
Autor:
Cerdeira-Pena, Ana, de Bernardo, Guillermo, Fariña, Antonio, Parama, Jose R., Silva-Coira, Fernando
Publikováno v:
SPIRE 2018
Big research efforts have been devoted to efficiently manage spatio-temporal data. However, most works focused on vectorial data, and much less, on raster data. This work presents a new representation for raster data that evolve along time named Temp
Externí odkaz:
http://arxiv.org/abs/1810.10965
We present RCT, a new compact data structure to represent trajectories of objects. It is based on a relative compression technique called Relative Lempel-Ziv (RLZ), which compresses sequences by applying an LZ77 encoding with respect to an artificial
Externí odkaz:
http://arxiv.org/abs/1810.05753
Publikováno v:
String Processing and Information Retrieval: 24th International Symposium, SPIRE 2017, Palermo, Italy, September 26-29, 2017, Proceedings. Springer International Publishing. pp 103-115. ISBN: 9783319674278
We present a new compressed representation of free trajectories of moving objects. It combines a partial-sums-based structure that retrieves in constant time the position of the object at any instant, with a hierarchical minimum-bounding-boxes repres
Externí odkaz:
http://arxiv.org/abs/1710.01952
Publikováno v:
String Processing and Information Retrieval: 23rd International Symposium, SPIRE 2016, Beppu, Japan, October 18-20, 2016, Proceedings. Springer International Publishing. pp 218-230. ISBN: 9783319460482
We present a compressed data structure to store free trajectories of moving objects (ships over the sea, for example) allowing spatio-temporal queries. Our method, GraCT, uses a $k^2$-tree to store the absolute positions of all objects at regular tim
Externí odkaz:
http://arxiv.org/abs/1612.03308
Autor:
Gómez-Brandón, Adrián, Paramá, José R., Villalobos, Kevin, Illarramendi, Arantza, Brisaboa, Nieves R.
Publikováno v:
In Computers in Industry November 2021 132
