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A collaboration between the Dictionary Unit for South African English (DSAE) and Stellenbosch University (SU) was initiated in 2016 to address the structure, layout and functionality of the online Dictionary of South African English on Historical ...
André Du Plessis, Tim Van Niekerk
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Universal Compressed Text Indexing [PDF]
The rise of repetitive datasets has lately generated a lot of interest in compressed self-indexes based on dictionary compression, a rich and heterogeneous family that exploits text repetitions in different ways. For each such compression scheme, several
Navarro, Gonzalo, Prezza, Nicola
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«Dictionary of Russian dialects of Bashkiria» edited by Professor Zoya Petrovna Zdobnova: to the 20th anniversary of publication [PDF]
The article is devoted to the unique dictionary of Russian dialects of Bashkiria, created at the Department of General and Comparative Historical Linguistics of the Bashkir State University under the guidance of Professor Zoya Petrovna Zdobnova.
Pyataeva Natalia V.
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Multi-focus Image Fusion using dictionary learning and Low-Rank Representation
Among the representation learning, the low-rank representation (LRR) is one of the hot research topics in many fields, especially in image processing and pattern recognition.
Li, Hui, Wu, Xiao-Jun
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Learning of structured graph dictionaries [PDF]
We propose a method for learning dictionaries towards sparse approximation of signals defined on vertices of arbitrary graphs. Dictionaries are expected to describe effectively the main spatial and spectral components of the signals of interest, so that their structure is dependent on the graph information and its spectral representation. We first show
Zhang, X, Dong, X, Frossard, P
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Principles of „The Normative Dictionary of the Polish Place Names from the area of Lithuania“
The aim of the article is to elaborate on the principles of the online edition of The Normative Dictionary of the Polish Place Names from the area of Lithuania. This is a normative dictionary.
Halina Karaś
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STARK: Structured Dictionary Learning Through Rank-one Tensor Recovery
In recent years, a class of dictionaries have been proposed for multidimensional (tensor) data representation that exploit the structure of tensor data by imposing a Kronecker structure on the dictionary underlying the data.
Bajwa, Waheed U. +3 more
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Single Image Super-Resolution Based on Deep Learning Features and Dictionary Model
In traditional single image super-resolution (SR) methods based on dictionary model, a large number of image features are needed to train the SR dictionary.
Liling Zhao, Quansen Sun, Zelin Zhang
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Learning parametric dictionaries for graph signals [PDF]
In sparse signal representation, the choice of a dictionary often involves a tradeoff between two desirable properties -- the ability to adapt to specific signal data and a fast implementation of the dictionary.
Frossard, Pascal +2 more
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Learning computationally efficient dictionaries and their implementation as fast transforms [PDF]
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.
Gribonval, Rémi, Magoarou, Luc Le
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