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...

this paper presents a new three-dimensional curvelet transform based dictionary learning for automatic segmentation of intraretinalcysts, most relevant prognostic biomarker in neovascular age-related macular degeneration, from 3d spectral-domain optical coherencetomography (sd-oct) images. in particular, we focus on the spectralis sd-oct (heidelberg engineering, heidelberg, germany) system, and...

this research was conducted to examine whether there was a significant difference between the quality of translations produced by translation students who used bilingual (english to farsi) dictionaries with that of those using monolingual (english to english) dictionaries. to this end, 78 senior undergraduate students of english translation took part in a piloted english proficiency test, 60 of...

The modified orthogonal matching pursuit (OMP) algorithm based on sensing dictionary, shows significant improvement for the performance of sparse recovery, especially in the case of highly coherent dictionary. Assuming a signal to be decomposed, a good sensing dictionary should depend not only on the ordinary dictionary but also the observed data. In this paper, a re-weighted algorithm for desi...

Dictionary markup (encoding) is one of the concerns of TEI (Text Encoding Initiative), an international project for text encoding. In this paper, we investigate ways to use and extend TEI encoding scheme for the markup of Korean dictionary entries. Since TEI suggestions for dictionary markup are mainly for western language dictionaries, we need to cope with problems to be encountered in encodin...

The JBIG2 standard is a very flexible bi-level image coding strategy based on pattern matching. The encoder collects a set of symbols in a dictionary and encodes a page by reference to the dictionary symbols. JBIG2 allows the encoder to view all symbols and choose a good set for the dictionary. In this paper, we examine the bit rate trade-off that arises in choosing different dictionary sizes. ...

This study presents a novel dictionary pruning algorithm that found dictionaries of optimized size for a given dataset, without compromising its approximation accuracy and performance. It is achieved by applying KSVD (K-means singular value decomposition) algorithm to patches of dictionary. This optimized dictionary selection will provide an increased convergence speed and performance of decomp...

Recently, sparse coding has been widely used in many applications ranging from image recovery to pattern recognition. The low mutual coherence of a dictionary is an important property that ensures the optimality of the sparse code generated from this dictionary. Indeed, most existing dictionary learning methods for sparse coding either implicitly or explicitly tried to learn an incoherent dicti...

ketab-ol-ein, which was written by ahmad farahidi, is one of the oldest dictionaries that exist today. in the preliminary discussion we mentioned that, although historical sources show that the work of ibn abbas looks like a dictionary, it is becoming accepted that ketab-ol-ein is the first dictionary. the article starts with explanations about the life and work of khalilibn ahmad. we have also...