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Visual analysis of dimensionality reduction quality for parameterized projections
(Pergamon-Elsevier ScienceOxford, 2014-06)
In recent years, many dimensionality reduction (DR) algorithms have been proposed for visual analysis of multidimensional data. Given a set of n-dimensional observations, such algorithms create a 2D or 3D projection thereof ...
Two-Phase Mapping for Projecting Massive Data Sets
(IEEE COMPUTER SOC, 2010)
Most multidimensional projection techniques rely on distance (dissimilarity) information between data instances to embed high-dimensional data into a visual space. When data are endowed with Cartesian coordinates, an extra ...
LoCH: a neighborhood-based multidimensional projection technique for high-dimensional sparse spaces
(ElsevierAmsterdam, 2015-02)
On the last few years multidimensional projection techniques have advanced towards defining faster and user-centered approaches. However,most of existing methods are designed as generic tools without considering particular ...
Subriemannian problem on two dimensional Flag manifolds
(2014)
We consider a projected invariant control system on the maximal Flag of a six dimensional
Lie group, we analyze the fundamental tools associated with the correponding optimal control
problem. We assume that the Lie algebra ...
Geometria projetiva: reconstrução geométrica a partir de múltiplos pontos de vista
(Universidade Tecnológica Federal do ParanáCuritibaBrasilLicenciatura em MatemáticaUTFPR, 2021-12-03)
The purpose of this work is to make a study about projective geometry and approach the multiple view reconstruction problem. Specifcally the reconstruction of a threedimensional scene using initially two two-dimensional ...
A projection pursuit framework for supervised dimension reduction of high dimensional small sample datasets
(ElsevierAmsterdam, 2015-02)
The analysis and interpretation of datasets with large number of features and few examples has remained as a challenging problem in the scientific community, owing to the difficulties associated with the curse-of-the-dim ...
Boosted projections and low cost transfer learning applied to smart surveillance
(Universidade Federal de Minas GeraisUFMG, 2018-02-23)
Computer vision is an important area related to understanding the world through images. It can be used in biometrics, by verifying whether a given face is of a certain identity, used to look for crime perpetrators in an ...
A class-based evaluation approach to assess multidimensional projections
(2020-09-01)
Multidimensional projection techniques have been widely used to visually explore datasets due to their ability to generate representations that preserve similarity relations of data points into lower dimensional spaces. ...
ChemVA: Interactive visual analysis of chemical compound similarity in virtual screening
(IEEE Computer Society, 2021-02-13)
In the modern drug discovery process, medicinal chemists deal with the complexity of analysis of large ensembles of candidate molecules. Computational tools, such as dimensionality reduction (DR) and classification, are ...