Sánchez, Daniel, and Chamorro-Martínez, Jesús. "Learning imprecise semantic concepts from image databases.." Mathware and Soft Computing 9.1 (2002): 59-73. <http://eudml.org/doc/39234>.
@article{Sánchez2002,
abstract = {In this paper we introduce a model to represent high-level semantic concepts that can be perceived in images. The concepts are learned and represented by means of a set of association rules that relate the presence of perceptual features to the fulfillment of a concept for a set of images. Since both the set of images where a perceptual feature appears and the set of images fulfilling a given concept are fuzzy, we use in fact fuzzy association rules for the learning model. The concepts so acquired are useful in several applications, in particular they provide a new way to formulate imprecise queries in image databases.},
author = {Sánchez, Daniel, Chamorro-Martínez, Jesús},
journal = {Mathware and Soft Computing},
keywords = {Lógica difusa; Análisis digital de imágenes; Recuperación de información; image semantics; fuzzy association rules; image databases},
language = {eng},
number = {1},
pages = {59-73},
title = {Learning imprecise semantic concepts from image databases.},
url = {http://eudml.org/doc/39234},
volume = {9},
year = {2002},
}
TY - JOUR
AU - Sánchez, Daniel
AU - Chamorro-Martínez, Jesús
TI - Learning imprecise semantic concepts from image databases.
JO - Mathware and Soft Computing
PY - 2002
VL - 9
IS - 1
SP - 59
EP - 73
AB - In this paper we introduce a model to represent high-level semantic concepts that can be perceived in images. The concepts are learned and represented by means of a set of association rules that relate the presence of perceptual features to the fulfillment of a concept for a set of images. Since both the set of images where a perceptual feature appears and the set of images fulfilling a given concept are fuzzy, we use in fact fuzzy association rules for the learning model. The concepts so acquired are useful in several applications, in particular they provide a new way to formulate imprecise queries in image databases.
LA - eng
KW - Lógica difusa; Análisis digital de imágenes; Recuperación de información; image semantics; fuzzy association rules; image databases
UR - http://eudml.org/doc/39234
ER -
