Abstract—Performance and power issues are becoming increasingly important in the design of large cluster based multitier data centers for supporting a multitude of services. Desi...
Dimensional reduction may be effective in order to compress data without loss of essential information. Also, it may be useful in order to smooth data and reduce random noise. The...
Clustering has been one of the most popular approaches used in gene expression data analysis. A clustering method is typically used to partition genes according to their similarity...
Abstract. Brain imaging provides a wealth of information that computers can explore at a massive scale. Categorizing the patterns of the human cortex has been a challenging issue f...
Zhong Yi Sun, Matthieu Perrot, Alan Tucholka, Deni...
Traditional techniques for statistical fMRI analysis are often based on thresholding of individual voxel values or averaging voxel values over a region of interest. In this paper w...