The problem of determining the appropriate number of components is important in finite mixture modeling for pattern classification. This paper considers the application of an unsu...
—The k nearest neighbor (k-NN) classifier has been extensively used as a nonparametric technique in Pattern Recognition. However, in some applications where the training set is l...
Abstract. Some recent works have addressed the object recognition problem by representing objects as the composition of independent image parts, where each part is modeled with “...
Abstract. In recent years, support vector machines (SVMs) have become a popular tool for pattern recognition and machine learning. Training a SVM involves solving a constrained qua...
In this paper, we present an approach to synthesize multiple behavior modules. Given n DFGs to be implemented, the previous methods scheduled each of them sequentially, and implem...
Ju Hwan Yi, Hoon Choi, In-Cheol Park, Seung Ho Hwa...