In this paper, we show how to learn transform-based domain adaptation classifiers in a scalable manner. The key idea is to exploit an implicit rank constraint, originated from a max-margin domain adaptation formulation, to make optimization tractable. Experiments show that the transformation between domains can be very efficiently learned from data and easily applied to new categories. Source c...

A hyperspectral imaging system (HSIS) is a combination of an imaging device and a spectrometer. The result is a 2D image combined with the third dimension containing the spectral composition of each pixel of the image. Spectrometers normally implemented in hyperspectral imaging systems are made by integrating a dispersive means (a prism or a grating) in an optical system, with the drawback of h...

With progress in radar systems, a number of methods have been developed for signal processing and detection in radars. A number of modern radar signal processing methods use time-frequency transforms, especially the wavelet transform (WT) which is a well-known linear transform. The interference canceling is one of the most important applications of the wavelet transform. In Ad-hoc detection met...