Dictionary learning has played an important role in the success of sparse representation. Although synthesis dictionary learning for sparse representation has been well studied for universality representation (i.e., the dictionary is universal to all classes) and particularity representation (i.e., the dictionary is class-particular), jointly learning an analysis dictionary and a synthesis dict...

Sparse representation has long been studied and several dictionary learning methods have been proposed. The dictionary learning methods are widely used because they are adaptive. In this paper, a new dictionary learning method for audio is proposed. Signals are at first decomposed into different degrees of Intrinsic Mode Functions (IMF) using Empirical Mode Decomposition (EMD) technique. Then t...

In this paper, it is proved that dictionary learning and sparse representation is invariant to a linear transformation. It subsumes the special case of transforming/projecting the data into a discriminative space. This is important because recently, supervised dictionary learning algorithms have been proposed, which suggest to include the category information into the learning of dictionary to ...

The dictionary learning problem concerns the task of representing data as sparse linear sums drawn from a smaller collection basic building blocks. In application domains where such techniques are deployed, we frequently encounter datasets some form symmetry or invariance is present. Motivated by this observation, develop framework for dictionaries under constraint that blocks remains invariant...

Task-Driven Dictionary Learning for HyperspectralImage Classification with Structured SparsityConstraints Report Title Sparse representation models a signal as a linear combination of a small number of dictionary atoms. As a generative model, it requires the dictionary to be highly redundant in order to ensure both a stable high sparsity level and a low reconstruction error for the signal. Howe...

the current research is based on comprehensive studies in the field of arabic dictionaries compilations as well as experiences of authors in imparting the arabic language education in iran for years. as any language learning requires a dictionary, and since researchers in the area of second language teaching always suggest using monolingual dictionaries, it seems necessary to discuss the merits...