Bottle-up and top-down are two main computing models in granular computing (GrC). The bottle-up granular computing is used to form decision tree classifiers, or DTCGrC for short. Algorithm DTCGrC constructs a framework of granular computing by the bottle-up join operation which m...
Open access
Research Article10.9734/JSRR/2016/19523
According to the higher computational complexity during the training process of sparse representation, the centers of granular computing (GrC) with L1-norm are regarded as the bases of sparse representation and used to reconstruct the super-resolution image of input image. Firstl...
Open access
Research Article10.9734/BJMCS/2015/19721
The granular computing with l∞-norm is used to zoom the image. Firstly, a granule is represented by l∞-norm and has the form of hypercube. Secondly, the bottle-up computing model is adopted to transform the microcosmic world into the macroscopic world by the designed join operati...
Open access
Research Article10.9734/BJAST/2015/19722