When only a small number of labeled samples are available, supervised dimensionality reduction methods tend to perform poorly due to overfitting. In such cases, unlabeled samples ...
— This paper presents a fast analytical method for estimating the throughput of pipelined asynchronous systems, and then applies that method to develop a fast solution to the pro...
- We present a software tool for high-level design and analysis of large-scale embedded real-time software, which has been integrated into a vehicle control platform development to...
Xiaofeng Yin, Daniel L. Kiskis, Daniel Mihalik, Ka...
This paper presents an optimization framework for the 3D reconstruction of the surfaces from stereo image pairs. The method is based on employing popular graph cut methods under th...
Abstract. The growth in amount of data available today has encouraged the development of effective data analysis methods to support human decision-making. Neuro-fuzzy computation ...