%0 Conference Proceedings
%F zepeda10a
%A Zepeda, Joaquin
%A Guillemot, Christine
%A Kijak, Ewa
%T The Iteration-Tuned Dictionary for Sparse Representations
%B IEEE International Workshop on Multimedia Signal Processing, MMSP'10
%C Saint-Malo, France
%X We introduce a new dictionary structure for sparse representations better adapted to pursuit algorithms used in practical scenarios. The new structure, which we call an Iteration-Tuned Dictionary (ITD), consists of a set of dictionaries each associated to a single iteration index of a pursuit algorithm. In this work we first adapt pursuit decompositions to the case of ITD structures and then introduce a training algorithm used to construct ITDs. The training algorithm consists of applying a K-means to the (i -1)-th residuals of the training set to thus produce the i-th dictionary of the ITD structure. In the results section we compare our algorithm against the state-of-the-art dictionary training scheme and show that our method produces sparse representations yielding better signal approximations for the same sparsity level
%U http://ieeexplore.ieee.org/stamp/5662000.pdf
%U http://dx.doi.org/10.1109/MMSP.2010.5662000
%8 October
%D 2010