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» Image Classification using Random Forests and Ferns
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CLEF
2009
Springer
14 years 9 months ago
ImageCLEF 2009 Medical Image Annotation Task: PCTs for Hierarchical Multi-Label Classification
In this paper, we describe an approach for the automatic medical image annotation task of the 2009 CLEF cross-language image retrieval campaign (ImageCLEF). This work is focused o...
Ivica Dimitrovski, Dragi Kocev, Suzana Loskovska, ...
CVPR
2010
IEEE
15 years 8 months ago
Segmentation of Building Facades Using Procedural Shape Priors
In this paper we propose a novel approach to the perceptual interpretation of building facades that combines shape grammars, supervised classification and random walks. Procedural...
Olivier Teboul, Loic Simon, Panagiotis Koutsouraki...
147
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CATA
2009
15 years 23 days ago
Nearest Shrunken Centroid as Feature Selection of Microarray Data
The nearest shrunken centroid classifier uses shrunken centroids as prototypes for each class and test samples are classified to belong to the class whose shrunken centroid is nea...
Myungsook Klassen, Nyunsu Kim
CATA
2008
15 years 1 months ago
Investigation of Random Forest Performance with Cancer Microarray Data
The diagnosis of cancer type based on microarray data offers hope that cancer classification can be highly accurate for clinicians to choose the most appropriate forms of treatmen...
Myungsook Klassen, Matt Cummings, Griselda Saldana
FLAIRS
2006
15 years 1 months ago
Automated Classification of Astronomical Objects in Multispectral Wide-Field Images
In this paper we present an automated method for classifying astronomical objects in multispectral wide-field images. The method is divided into three main tasks. The first one co...
Jorge de la Calleja, Olac Fuentes