1 citations · 2 across the 4 of their papers we have counts for
6 papers
Round-Trip KNN Clustering: multiscale hierarchical cluster detection on directed nearest-neighbour graphs
Eraldo Pereira Marinho, Caetano Mazzoni Ranieri, Fabricio Aparecido Breve
We introduce Round-Trip KNN Clustering (RTKNNC), a graph-based method for finding cluster structure at several neighbourhood scales without requiring the number of clusters in adva…
Covariance-based smoothed particle hydrodynamics. A machine-learning application to simulating disc fragmentation
Eraldo Pereira Marinho
A PCA-based, machine learning version of the SPH method is proposed. In the present scheme, the smoothing tensor is computed to have their eigenvalues proportional to the covarianc…
On the connection between Deutsch-Jozsa algorithm and bent functions
Eraldo Pereira Marinho
It is presently shown that the Deutsch-Jozsa algorithm is connected to the concept of bent function. Particularly, it is noticeable that the quantum circuit used to denote the well…
Beyond z=0. The Deutsch-Jozsa decided monochromatic languages
Eraldo Pereira Marinho
The present work points out that the Deutsch-Jozsa algorithm was the first formal description of a quantum decider. In particular, it is studied here the class of languages whose i…
Pattern recognition issues on anisotropic smoothed particle hydrodynamics
Eraldo Pereira Marinho
This is a preliminary theoretical discussion on the computational requirements of the state of the art smoothed particle hydrodynamics (SPH) from the optics of pattern recognition…
Anisotropic k-Nearest Neighbor Search Using Covariance Quadtree
Eraldo Pereira Marinho, Carmen Maria Andreazza
We present a variant of the hyper-quadtree that divides a multidimensional space according to the hyperplanes associated to the principal components of the data in each hyperquadra…