The paper introduces a new framework for feature learning in classification motivated by information theory. We first systematically study the information structure and present a n...
We introduce a novel workflow that will hopefully open new directions of processing and improvement in image reproduction. Existing gamut mapping algorithms can be classified into ...
We describe Nonnegative Double Singular Value Decomposition (NNDSVD), a new method designed to enhance the initialization stage of nonnegative matrix factorization (NMF). NNDSVD c...
We introduce a new method for data clustering based on a particular Gaussian mixture model (GMM). Each cluster of data, modeled as a GMM into an input space, is interpreted as a hy...
Power consumption in field programmable gate arrays (FPGAs) has become an important issue as the FPGA market has grown to include mobile platforms. In this work we present a power...