Spectral analysis approaches have been actively studied in machine learning and data mining areas, due to their generality, efficiency, and rich theoretical foundations. As a natur...
Dijun Luo, Heng Huang, Chris H. Q. Ding, Feiping N...
A method of managing the power consumption of an embedded, single-issue processor by controlling its pipeline depth is proposed. The execution time will be increased but, if the m...
In this paper, a robust blind watermarking method for 3D volumes is presented. A bivalued watermark is embedded in the Fourier transform magnitude of the 3D volume. The Fourier do...
We give a tutorial overview of several geometric methods for dimension reduction. We divide the methods into projective methods and methods that model the manifold on which the da...
We study and compare two novel embedding methods for segmenting feature points of piece-wise planar structures from two (uncalibrated) perspective images. We show that a set of di...