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Listar por autor "Mateos García, Daniel"
Mostrando ítems 1-15 de 15
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Capítulo de Libro
A Comparative Study between Two Regression Methods on LiDAR Data: A Case Study
García Gutiérrez, Jorge; González Ferreiro, Eduardo; Mateos García, Daniel; Riquelme Santos, José Cristóbal; Miranda, David (Springer, 2011)Airborne LiDAR (Light Detection and Ranging) has become an excellent tool for accurately assessing vegetation characteristics ...
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Capítulo de Libro
A Non-parametric Approach for Accurate Contextual Classification of LIDAR and Imagery Data Fusion
García Gutiérrez, Jorge; Mateos García, Daniel; Riquelme Santos, José Cristóbal (Springer, 2012)Light Detection and Ranging (LIDAR) has become a very important tool to many environmental applications. This work ...
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Ponencia
A Preliminary Study of the Suitability of Deep Learning to Improve LiDAR-Derived Biomass Estimation
García Gutiérrez, Jorge; González Ferreiro, Eduardo; Mateos García, Daniel; Riquelme Santos, José Cristóbal (Springer, 2016)Light Detection and Ranging (LiDAR) is a remote sensor able to extract three-dimensional information about forest structure. ...
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Capítulo de Libro
A SVM and k-NN Restricted Stacking to Improve Land Use and Land Cover Classification
García Gutiérrez, Jorge; Mateos García, Daniel; Riquelme Santos, José Cristóbal (2010)Land use and land cover (LULC) maps are remote sensing products that are used to classify areas into different landscapes. ...
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Artículo
An evolutionary voting for k-nearest neighbours
Mateos García, Daniel; García Gutiérrez, Jorge; Riquelme Santos, José Cristóbal (Elsevier, 2016)This work presents an evolutionary approach to modify the voting system of the k-nearest neighbours (kNN) rule we called ...
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Artículo
An evolutionary-weighted majority voting and support vector machines applied to contextual classification of LiDAR and imagery data fusion
García Gutiérrez, Jorge; Mateos García, Daniel; García, Mariano; Riquelme Santos, José Cristóbal (Elsevier, 2015)Data classification is a critical step to convert remotely sensed data into thematic information. Environmental researchers have ...
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Capítulo de Libro
Evolutionary segmentation of yeast genome
Mateos García, Daniel; Riquelme Santos, José Cristóbal; Aguilar Ruiz, Jesús Salvador (2004)Segmentation algorithms differ from clustering algorithms with regard to how to deal with the physical location of genes ...
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Artículo
EVOR-STACK: A label-dependent evolutive stacking on remote sensing data fusion
García Gutiérrez, Jorge; Mateos García, Daniel; Riquelme Santos, José Cristóbal (Elsevier, 2012)Land use and land covers (LULC) maps are remote sensing products that are used to classify areas into different landscapes. ...
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Capítulo de Libro
Improving the k-Nearest Neighbour Rule by an Evolutionary Voting Approach
García Gutiérrez, Jorge; Mateos García, Daniel; Riquelme Santos, José Cristóbal (Springer, 2014)This work presents an evolutionary approach to modify the voting system of the k-Nearest Neighbours (kNN). The main novelty ...
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Capítulo de Libro
Label Dependent Evolutionary Feature Weighting for Remote Sensing Data
Mateos García, Daniel; García Gutiérrez, Jorge; Riquelme Santos, José Cristóbal (2010)Nearest neighbour (NN) is a very common classifier used to develop important remote sensing products like land use and ...
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Artículo
On the evolutionary optimization of k-NN by label-dependent feature weighting
Mateos García, Daniel; García Gutiérrez, Jorge; Riquelme Santos, José Cristóbal (Elsevier, 2012)Different approaches of feature weighting and k-value selection to improve the nearest neighbour technique can be found ...
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Artículo
On the evolutionary weighting of neighbours and features in the k-nearest neighbour rule
Mateos García, Daniel; García Gutiérrez, Jorge; Riquelme Santos, José Cristóbal (Elsevier, 2019)This paper presents an evolutionary method for modifying the behaviour of the k-Nearest-Neighbour clas sifier (kNN) called ...
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Ponencia
Optimizing a Classification System for HEp-2 Cells by Evolutionary Computation
Mateos García, Daniel; García Gutiérrez, Jorge; Riquelme Santos, José Cristóbal (International Association for Pattern Recognition (IAPR), 2012)In this work, we describe a classification system to automatically recognize the pattern of HEp-2 cells within IIF ...
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Tesis Doctoral
Ponderación local evolutiva de la regla kNN
Mateos García, Daniel (2013)En la literatura, existen numerosas técnicas para mejorar el rendimiento de la regla de los k vecinos más cercanos (en ...
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Capítulo de Libro
Statistical Test-Based Evolutionary Segmentation of Yeast Genome
Aguilar Ruiz, Jesús Salvador; Mateos García, Daniel; Giráldez Rojo, Raúl; Riquelme Santos, José Cristóbal (2004)Segmentation algorithms emerge observing fluctuations of DNA sequences in alternative homogeneous domains, which are named ...