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
core +2 more sources
Succinct Dictionary Matching With No Slowdown [PDF]
The problem of dictionary matching is a classical problem in string matching: given a set S of d strings of total length n characters over an (not necessarily constant) alphabet of size sigma, build a data structure so that we can match in a any text T ...
A.V. Aho +6 more
core +1 more source
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
openaire +1 more source
«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.
doaj +1 more source
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
doaj +1 more source
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
core +1 more source
Analysis Dictionary Learning: An Efficient and Discriminative Solution
Discriminative Dictionary Learning (DL) methods have been widely advocated for image classification problems. To further sharpen their discriminative capabilities, most state-of-the-art DL methods have additional constraints included in the learning ...
Dai, Liyi +3 more
core +1 more source
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
doaj +1 more source
Efficient data representation for XML in peer-based systems [PDF]
Purpose - New directions in the provision of end-user computing experiences mean that the best way to share data between small mobile computing devices needs to be determined.
Christopher, Foley +3 more
core +1 more source
Microplastics from Wearable Bioelectronic Devices: Sources, Risks, and Sustainable Solutions
Bioelectronic devices (e.g., e‐skins) heavily rely on polymers that at the end of their life cycle will generate microplastics. For research, a holistic approach to viewing the full impact of such devices cannot be overlooked. The potential for devices as sources for microplastics is raised, with mitigation strategies surrounding polysaccharide and ...
Conor S. Boland
wiley +1 more source

