Ny pop Dictionary Learning in Visual Computing by Qiang Zhang & Baoxin Li OJx1hDYi

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The last few years have witnessed fast development on dictionary learning approaches for a set of visual computing tasks largely due to their utilization in developing new techniques based on sparse representation. Compared with conventional techniques employing manually defined dictionaries such as Fourier Transform and Wavelet Transform dictionary learning aims at obtaining a dictionary adaptively from the data so as to support optimal sparse representation of the data. In contrast to conve