: We propose a new nonparametric family of oscillation heuristics for improving linear classifiers in the two-group discriminant problem. The heuristics are motivated by the intuit...
In this paper, a hybrid learning approach named HDT is proposed. HDT simulates human reasoning by using symbolic learning to do qualitative analysis and using neural learning to d...
Self-stabilizing programs automatically recover from state corruption caused by software bugs and other sources to reach the correct state. A number of applications are inherently...
- In recent years, techniques have shown an increased interest in research and development related to stereoscopic imaging. However, unlike 2D image, stereoscopic image is generate...
Chang Ok Yun, Sang Heon Han, Tae Soo Yun, Dong Hoo...
Graph-based methods for semi-supervised learning have recently been shown to be promising for combining labeled and unlabeled data in classification problems. However, inference f...