Principal component analysis (PCA) is an effective tool for spectral decorrelation of hyperspectral imagery, and PCA-based spectral transforms have been employed successfully in co...
We present an approach on how to investigate what kind of semantic information is regularly associated with the structural markup of scientific articles. This approach addresses ...
A quantitative study has shown that frame technology [1] supported by Fusion toolset can lead to reduction in time-tomarket (70%) and project costs (84%). Frame technology has bee...
Tak Wong, Stan Jarzabek, Soe Myat Swe, Ru Shen, Ho...
We investigate the coding of multiview images obtained from a set of multiple cameras. To exploit the inter-view correlation, two viewprediction tools have been implemented and us...
Feature detection is important in various mesh processing techniques, such as mesh editing, mesh morphing, mesh compression, and mesh signal processing. In spite of much research ...