n this work we present an experience of using tree classifiers as a tool of multivariate exploratory analysis. It refers to a problem of image analysis, and specifically to that of identifying low-level visual features suitable to capture salient aspects of the semantic content of the images. The problem is addressed by studying the discrimination capability of the features towards classes of images semantically defined. The classes considered are the photograph, graphic and text classes.
Detecting visual feature importance via tree classifiers. An experience
GAGLIARDI I;
2000
Abstract
n this work we present an experience of using tree classifiers as a tool of multivariate exploratory analysis. It refers to a problem of image analysis, and specifically to that of identifying low-level visual features suitable to capture salient aspects of the semantic content of the images. The problem is addressed by studying the discrimination capability of the features towards classes of images semantically defined. The classes considered are the photograph, graphic and text classes.File in questo prodotto:
Non ci sono file associati a questo prodotto.
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
