Most clustering algorithms produce a single clustering for a given data set even when the data can be clustered naturally in multiple ways. In this paper, we address the difficult...
Frequently in the physical sciences experimental data are analyzed to determine model parameters using techniques known as parameter estimation. Eliminating the effects of noise ...
Abstract. 4D computed tomography (4D-CT) is an important modality in medical imaging due to its ability to resolve patient anatomy motion in each respiratory phase. Conventionally ...
Xun Jia, Yifei Lou, Bin Dong, Zhen Tian, Steve B. ...
Background: Two or more factor mixed factorial experiments are becoming increasingly common in microarray data analysis. In this case study, the two factors are presence (Patients...
Hao Li, Constance L. Wood, Thomas V. Getchell, Mar...
Commercial tools for standard-cell based datapath design are here classed according to design flows, and the advantages of each class are discussed with the results of two test ci...