This paper describes the development of a multimedia dictionary writing system for the Czech Sign Language dictionary, prepared in cooperation of several institutions dedicated to the sign language research and study. The presented dictionary system takes the advantage of electronic format and strongly relies on the use of multimedia evidences. The dictionary system has to deal with large amoun...

Sparse representation, which uses dictionary atoms to reconstruct input vectors, has been studied intensively in recent years. A proper dictionary is a key for the success of sparse representation. In this paper, an active dictionary learning (ADL) method is introduced, in which classification error and reconstruction error are considered as the active learning criteria in selection of the atom...

We identify two complementary p.ro.cesses in. the conversion of machine-readable dmUonanes into lexical databases: recovery of the dictionary structure from the typographical markings which persist on the dictionary distribution tapes and embody the publishers' notational conventions; followed by making explicit all of the codified and ellided information packed into individual entries. We disc...

Dictionary learning is a branch of signal processing and machine learning that aims at finding a frame (called dictionary) in which some training data admits a sparse representation. The sparser the representation, the better the dictionary. The resulting dictionary is in general a dense matrix, and its manipulation can be computationally costly both at the learning stage and later in the usage...

We study Dictionary Learning (aka sparse coding). By geometrically interpreting an exact formulation of Dictionary Learning, we identify related problems and draw formal relationships among them. Dictionary Learning is viewed as the minimum generating set of a subspace arrangement. This formulation leads to a new family of dictionary learning algorithms. When the data are sufficiently general a...

A comprehensive description of one the types amateur dialect dictionaries, namely “dictionary-encyclopedia”, is carried out. As a material for analysis, dictionary Bakal town Chelyabinsk region, compiled by Boris Petrovich Plaksin (the volume about 4000 words) was selected. The results analysis thematic, stylistic belonging vocabulary constituting Plaksin’s are presented. It shown that signific...

Dictionary learning (DL) for sparse coding based classification has been widely researched in pattern recognition in recent years. Most of the DL approaches focused on the reconstruction performance and the discriminative capability of the learned dictionary. This paper proposes a new method for learning discriminative dictionary for sparse representation based classification, called Incoherent...

Any machine translation system requires a transfer dictionary between the source and target languages. Typically, since the construction of such a dictionary is done by hand, a lot of time is taken and the cost is enormous. Considering this, we attempted the construction of a bilingual dictionary through the re-generation of already-existing language resources. Aiming at the generation of a Kor...

This paper presents a methodology to derive an appropriate initial dictionary for SPDY to compress HTTP headers using the dictionary data compression method zlib. After applying our methodology, and by using our proposed initial dictionary, an additional 8% compression of the first HTTP request header and an additional 15% compression of first HTTP reply header on a SPDY connection is gained ov...