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Improved Object Recognition with Decision Trees Using Subspace Clustering
(FUJI TECHNOLOGY PRESS LTD, 2016)
’HALITE IND. DS’: fast and scalable subspace clustering for multidimensional data streams
(Society for Industrial and Applied Mathematics - SIAMMiami, 2016-05)
Given a data stream with many attributes and high frequency of events, how to cluster similar events? Can it be done in real time? For example, how to cluster decades of frequent measurements of tens of climatic attributes ...
A dimension reduction scheme for the computation of optimal unions of subspaces
(Sampling Publishing, 2011-11)
Given a set of points F in a high dimensional space, the problem of finding a union of subspaces U_i V_i ⊆ R^N that best explains the data F increases dramatically with the dimension of R^N. In this article, we study a ...
Detección mejorada de la microsismicidad y evaluación de detonantes dinámicos en la cuenca central del Mar de Mármara, Turquía
(Universidad de los AndesGeocienciasFacultad de CienciasDepartamento de Geociencias, 2020)
This project presents an improved detection of microseismicity for the sea of Marmara central basin, an inland sea at Europe South-East, in Turkey, which is under the effect of North Anatolian Fault. The procedure is applied ...
Performance evaluation of block-diagonal preconditioners for the divergence-conforming B-spline discretization of the Stokes system
(Elsevier B.V., 2015-11)
The recently introduced divergence-conforming B-spline discretizations allow the construction of smooth discrete velocity-pressure pairs for viscous incompressible flows that are at the same time inf-sup stable and pointwise ...
Mapas auto-organizáveis com topologioa variante no tempo para categorização em subespaços em dados de alta dimensionalidade e vistas múltiplas
(Universidade Federal de PernambucoUFPEBrasilPrograma de Pos Graduacao em Ciencia da Computacao, 2017)
Improving the efficiency of algebraic subspace clustering through randomized low-rank matrix approximations
(Instituto Nacional de Astrofísica, Óptica y Electrónica, 2013)
Improving the efficiency of algebraic subspace clustering through randomized low-rank matrix approximations
(Instituto Nacional de Astrofísica, Óptica y Electrónica, 2013)