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Unsupervised Dialogue Act Classification with Optimum-Path Forest
(2019-01-15)
Dialogue Act classification is a relevant problem for the Natural Language Processing field either as a standalone task or when used as input for downstream applications. Despite its importance, most of the existing ...
Blur parameter identification through optimum-path forest
(2017-01-01)
Image acquisition processes usually add some level of noise and degradation, thus causing common problems in image restoration. The restoration process depends on the knowledge about the degradation parameters, which is ...
OPFython: A Python implementation for Optimum-Path Forest[Formula presented]
(2021-08-01)
OPFython is an open-sourced Python package that implements Optimum-Path Forest algorithms using object-oriented programming and a straightforward structure. It provides an alternative implementation to the standard LibOPF ...
Image-to-space path planning for a SCARA manipulator with single color camera
(CAMBRIDGE UNIV PRESS, 2003)
This paper presents a methodology for image-to-space path planning of a SCARA manipulator with a single static color camera. The method proposes a two step algorithm for estimating object position on the image plane and ...
Path dependence on the decisions implemented by the ecuadorian banking business groups (1970-2000)
This article had as an objective to analyze by using the Theory of Path Dependence the decisions that were taken by the banking groups during the period 1970-2000. In order to accomplish this goal, this current paper applied ...
Proper Hamiltonian Paths in Edge-Colored Multigraphs
(Elsevier, 2011-12)
A c-edge-colored multigraph has each edge colored with one of the c available colors and no two parallel edges have the same color. A proper hamiltonian path is a path containing all the vertices of the multigraph such ...
A path- and label-cost propagation approach to speedup the training of the optimum-path forest classifier
(Elsevier Science BvAmsterdamHolanda, 2014)