— There has been much recent interest in protocol design for wireless networks based on maximizing a network utility function. A significant advance in recent years is the obser...
In this paper, we propose an algorithm that recovers binocular disparities in accordance with the surface properties of the scene under consideration. To do so, we estimate the di...
The main idea of iceberg data cubing methods relies on optimization techniques for computing only the cuboids cells above certain minimum support threshold. Even using such approac...
Abstract. The continuous miniaturization of semiconductor devices imposes serious threats to design robustness against process variations and environmental fluctuations. Modern ci...
Chin-Hsiung Hsu, Szu-Jui Chou, Jie-Hong Roland Jia...
Principal component analysis (PCA) is a classical data analysis technique that finds linear transformations of data that retain the maximal amount of variance. We study a case whe...