Browsing INIT_Articles by Author "e152bdb5-a9e6-43db-8b2b-7a1920e05018"
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Band selection in spectral imaging for non-invasive melanoma diagnosis
Quinzán, Ianisse; Martínez Sotoca, José; Latorre Carmona, Pedro; Pla, Filiberto; García-Sevilla, Pedro; Boldó, Enrique Optical Society of America (2013-03-04)A method consisting of the combination of the Synthetic Minority Over-Sampling TEchnique (SMOTE) and the Sequential Forward Floating Selection (SFFS) technique is used to do band selection in a highly imbalanced, small ... -
Face gender classification: A statistical study when neutral and distorted faces are combined for training and testing purposes
Andreu Cabedo, Yasmina; García-Sevilla, Pedro; Mollineda, Ramón A. Elsevier (2014-01)This paper presents a thorough study of gender classification methodologies performing on neutral, expressive and partially occluded faces, when they are used in all possible arrangements of training and testing roles. A ... -
Improving Hyperspectral Pixel Classification With Unsupervised Training Data Selection
Rajadell Rojas, Olga; García-Sevilla, Pedro; Viet Cuong Dinh; Duin, Robert P. W. Institute of Electrical and Electronics Engineers (IEEE) (2014)An unsupervised method for selecting training data is suggested here. The method is tested by applying it to hyperspectral land-use classification. The data set is reduced using an unsupervised band selection method and ... -
Spectral–Spatial Pixel Characterization Using Gabor Filters for Hyperspectral Image Classification
Rajadell Rojas, Olga; García-Sevilla, Pedro; Pla, Filiberto Institute of Electrical and Electronics Engineers (IEEE) (2013)This paper presents a spectral-spatial pixel characterization method for hyperspectral images. The characterization is based on textural features obtained using Gabor filters over a selected set of spectral bands. This ... -
Unsupervised colour image segmentation by low-level perceptual grouping
Martínez Usó, Adolfo; Pla, Filiberto; García-Sevilla, Pedro Springer (2013-11)This paper proposes a new unsupervised approach for colour image segmentation. A hierarchy of image partitions is created on the basis of a function that merges spatially connected regions according to primary perceptual ...