RT info:eu-repo/semantics/article
T1 “You Are Not My Type”: An Evaluation of Classification Methods for Automatic Phytolith Identification
A1 Diez Pastor, José Francisco
A1 Latorre Carmona, Pedro
A1 Arnaiz González, Álvar
A1 Ruiz Pérez, Javier
A1 Zurro, Débora
K1 Feature extraction
K1 Machine learning
K1 Microfossils
K1 Morphometry
K1 Proxy
K1 Informática
K1 Computer science
AB Phytoliths can be an important source of information related to environmental and climatic change, as well as to ancient plant use byhumans, particularly within the disciplines of paleoecology and archaeology. Currently, phytolith identification and categorization is performed manually by researchers, a time-consuming task liable to misclassifications. The automated classification of phytoliths would allowthe standardization of identification processes, avoiding possible biases related to the classification capability of researchers. This paper presents a comparative analysis of six classification methods, using digitized microscopic images to examine the efficacy of different quantitativeapproaches for characterizing phytoliths. A comprehensive experiment performed on images of 429 phytoliths demonstrated that the automatic phytolith classification is a promising area of research that will help researchers to invest time more efficiently and improve theirrecognition accuracy rate.
PB Cambridge University Press
SN 1431-9276
YR 2020
FD 2020-11
LK http://hdl.handle.net/10259/7378
UL http://hdl.handle.net/10259/7378
LA eng
NO This work was supported by the project TIN2015- 67534-P (MINECO/FEDER, UE) of the Ministerio de Economía y Competitividad of the Spanish Government, by the project BU085P17 (JCyL/FEDER, UE) of the Junta de Castilla y León (both projects co-financed through European Union FEDER funds) and by Grups de Recerca de Qualitat CaSEs – Culture and Socio-Ecological Dynamics (2017 SGR 212), AGAUR-Generalitat de Catalunya. The authors gratefully acknowledge the support of NVIDIA Corporation and its donation of the TITAN Xp GPUs used in this research.
DS Repositorio Institucional de la Universidad de Burgos
RD 23-nov-2024