Graphs are an extremely general and powerful data structure. In pattern recognition and computer vision, graphs are used to represent patterns to be recognized or classified. Det...
Abstract--A crucial issue in designing learning machines is to select the correct model parameters. When the number of available samples is small, theoretical sample-based generali...
The detection of unusual or anomalous data is an important function in automated data analysis or data mining. However, the diversity of anomaly detection algorithms shows that it...
Over the years, many Linear Discriminant Analysis (LDA) algorithms have been proposed for the study of high dimensional data in a large variety of problems. An intrinsic limitatio...
—In this paper, we study a new family of carrier-hopping prime codes (CHPCs), so-called quadraticcongruence CHPC (QC-CHPC), with expanded code cardinality by relaxing the maximum...
Wing C. Kwong, Cheng-Yuan Chang, Hung-Ta Chen, Guu...