Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Lucas Moutinho Bueno"'
Publikováno v:
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Universidade de São Paulo (USP)
instacron:USP
Publikováno v:
SSRN Electronic Journal.
Autor:
Jorge Stolfi, Lucas Moutinho Bueno
Publikováno v:
International Journal of Computational Geometry & Applications. 27:297-325
We describe an algorithm to triangulate a general 3-dimensional-map on an arbitrary space in such way that the resulting 3-dimensional triangulation is vertex-colorable with four colors. (Four-colorable triangulations can be efficiently represented a
Autor:
Jorge Stolfi, Lucas Moutinho Bueno
Publikováno v:
International Journal of Computational Geometry & Applications. 26:111-133
We describe an algorithm to triangulate a general map on an arbitrary surface in such way that the resulting triangulation is vertex-colorable with three colors. (Three-colorable triangulations can be efficiently represented and manipulated by the GE
Publikováno v:
GeoInformatica. 15:75-109
Sensor networks have increased the amount and variety of temporal data available, requiring the definition of new techniques for data mining. Related research typically addresses the problems of indexing, clustering, classification, summarization, an
Autor:
Jorge Stolfi, Lucas Moutinho Bueno
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783642404498
ESA
ESA
We describe an algorithm to subdivide an arbitrary triangulation of a surface to produce a triangulation that is vertex-colorable with three colors. (Three-colorable triangulations can be efficiently represented and manipulated by the GEM data struct
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3ef8f9f2110a462ac3b590e2a64342d3
https://doi.org/10.1007/978-3-642-40450-4_23
https://doi.org/10.1007/978-3-642-40450-4_23
Publikováno v:
ICMR
Vote-based algorithms are very popular in tasks based on image local-descriptors, including object matching, panoramic stitching and near-duplicate detection. On this paper, we focus on the latter application, proposing a Bayesian approach, which all
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f7262d4e3b3c55f62ecc07fb1663f2b7
http://arxiv.org/abs/1104.4723
http://arxiv.org/abs/1104.4723