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Three-Dimensional Semiautomatic Road Extraction From a High-Resolution Aerial Image by Dynamic-Programming Optimization in the Object Space
(Institute of Electrical and Electronics Engineers (IEEE), 2010-10-01)
This letter proposes a method for 3-D semiautomatic road extraction from a single image by dynamic programming (DP), which requires a form of relief representation such as digital terrain model. Unlike traditional DP ...
A nature-inspired feature selection approach based on hypercomplex information
(Elsevier B.V., 2020-09-01)
Feature selection for a given model can be transformed into an optimization task. The essential idea behind it is to find the most suitable subset of features according to some criterion. Nature-inspired optimization can ...
State of the Art of Fingerprint Indexing Algorithms
(Revista Computación y Sistemas; Vol. 15 No.1, 2011-09-10)
Abstract. Due to the large size that fingerprint
databases generally have, the reduction of the search
space is indispensable. In the resolution of this problem,
indexing algorithms have a fundamental role. In ...
Binary flower pollination algorithm and its application to feature selection
(2015-01-01)
The problem of feature selection has been paramount in the last years, since it can be as important as the classification step itself. The main goal of feature selection is to find out the subset of features that optimize ...
Simplified stress and simplified silhouette coefficient to a faster quality evaluation of multidimensional projection techniques and feature spaces
(2015-09-18)
Several multidimensional projection techniques have been proposed in literature over the last years. The quality of those techniques can be evaluated based on the dimensionality reduction or the clusters quality. The first ...
Exploiting feature space using overlapping windows for improving biometric recognition
Biometrics is a highly researched topic due to its importance in security, surveillance, and authentication systems. Granulation is the procedure of partitioning data into windows. Two novel feature extraction techniques ...
Pedestrian tracking using probability fields and a movement feature spaceSeguimiento de peatones utilizando campos probabilísticos y un espacio de descriptores dinámicos
(Universidad Nacional de Colombia, 2017-01)
Recuperar información de secuencias de video, como la dinámica de peatones u otros objetos en movimiento en la escena, representa una herramienta indispensable para interpretar que está ocurriendo en la escena. Este artículo ...
Segmentation of color images by chromaticity features using self-organizing maps
(Universidad Nacional de Colombia, 2016)
Feature Selection Using Geometric Semantic Genetic Programming
(Assoc Computing Machinery, 2017-01-01)
Feature selection concerns the task of finding the subset of features that are most relevant to some specific problem in the context of machine learning. During the last years, the problem of feature selection has been ...
Partially obscured human detection based on component detectors using multiple feature descriptors
(2014-08-03)
This paper presents a human detection system based on component detector using multiple feature descriptors. The contribution presents two issues for dealing with the problem of partially obscured human. First, it presents ...