TY - JOUR
T1 - Visualización de conjuntos de datos de múltiples instancias
AU - Valencia-Duque, Jorge Eliecer
AU - Mera, Carlos
AU - Sepúlveda, Lina Maria
N1 - Publisher Copyright:
© 2020, Associacao Iberica de Sistemas e Tecnologias de Informacao. All rights reserved.
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2020/10
Y1 - 2020/10
N2 - In pattern recognition, multiple-instance learning algorithms have gained importance since they avoid that the user must delimit, the images individually in order to recognize the objects. This is an advantage over traditional learning algorithms since these considerably reduce the time required to prepare the data set. However, a disadvantage is that the resulting data sets are often complex, making it difficult to visualize them using traditional information visualization techniques. Thus, this work proposes a tool for the visualization and analysis of data sets of the multi-instance learning paradigm. The visualization proposal was evaluated using the expert criteria. In addition, different tests were carried out that show that a correct visualization can help to make decisions about the data set to improve the classification precision.
AB - In pattern recognition, multiple-instance learning algorithms have gained importance since they avoid that the user must delimit, the images individually in order to recognize the objects. This is an advantage over traditional learning algorithms since these considerably reduce the time required to prepare the data set. However, a disadvantage is that the resulting data sets are often complex, making it difficult to visualize them using traditional information visualization techniques. Thus, this work proposes a tool for the visualization and analysis of data sets of the multi-instance learning paradigm. The visualization proposal was evaluated using the expert criteria. In addition, different tests were carried out that show that a correct visualization can help to make decisions about the data set to improve the classification precision.
KW - Information visualization
KW - Multi-instance learning
KW - Representation
KW - Visual Analysis
UR - http://www.scopus.com/inward/record.url?scp=85097000991&partnerID=8YFLogxK
U2 - 10.17013/risti.39.84-99
DO - 10.17013/risti.39.84-99
M3 - Artículo
AN - SCOPUS:85097000991
VL - 2020
SP - 84
EP - 99
JO - RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao
JF - RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao
SN - 1646-9895
IS - 39
ER -