This paper substantially expands the scope of such a system by integrating a feature reduction scheme that adaptively adjusts to the amount of labeled data ...

This paper substantially expands the scope of such a system by integrating a feature reduction scheme that adaptively adjusts to the amount of labeled data ...

PDF | On Jan 1, 2004, Joseph T. Morgan and others published Adaptive Feature Spaces For Land Cover Classification With Limited Ground Truth Data.

Adaptive Feature Spaces for Land Cover Classification with Limited Ground Truth Data · A versatile framework for labelling imagery with a large number of classes.

Abstract. Classification of hyperspectral data is challenging because of high dimensionality (O(100)) inputs, several possible output classes with uneven.

A feature reduction scheme that adaptively adjusts to the amount of labeled data available and can be used in conjunction with ECOC and the BHC, ...

Adaptive feature spaces for land cover classification with limited ground truth data 15. Fig. 2. Classification (test set) accuracies for Bolivar Peninsula.

Adaptive Feature Spaces for Land Cover Classification with Limited Ground Truth Data. https://doi.org/10.1007/3-540-45428-4_19 · Full text.

This paper substantially expands the scope of such a system by integrating a feature reduction scheme that adaptively adjusts to the amount of labeled data ...

Adaptive Feature Spaces for Land Cover Classification With Limited Ground Truth Data by JOSEPH T. MORGAN, JISOO HAM, MELBA M. CRAWFORD, ALEX.