Chang-An Wu

Super Resolution Image Reconstruction by Granular Computing with L1-norm

Hongbing Liu & Chang-An Wu · Journal of Advances in Mathematics and Computer Science · 2015

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 Article 10.9734/BJMCS/2015/19721

Decision Tree Classifiers Based on Granular Computing

Hongbing Liu, Fan Zhang & Chang-An Wu · Journal of Scientific Research and Reports · 2015

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 Article 10.9734/JSRR/2016/19523