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Anatoly V. Anisimov

dblp:72/5294 · also A. V. Anisimov, Anatoly Anisimov · DBLP profile ↗
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13ranked-venue papers
7as first author
0since 2021 · last 2020
0000-0002-1467-2006ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Databases, data management, data science and information retrieval · 8 · 2 first-authorTheory of computation · 5 · 5 first-authorArtificial intelligence and machine learning · 4 · 1 first-authorGraphics, computer vision, multimedia, augmented reality and games · 2

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Theoretical computer science
1 paper
Coding theory · 100%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Coding theory › source coding › variable-length codes
integer encoding
0.312017
Variable-Length Prefix Codes With Multiple Delimiters · IEEE Trans. Inf. Theory 2017
Coding theory › source coding › variable-length codes
prefix codes
0.312017
Variable-Length Prefix Codes With Multiple Delimiters · IEEE Trans. Inf. Theory 2017
Coding theory
source coding
0.312017
Variable-Length Prefix Codes With Multiple Delimiters · IEEE Trans. Inf. Theory 2017
Coding theory › source coding
variable-length codes
0.312017
Variable-Length Prefix Codes With Multiple Delimiters · IEEE Trans. Inf. Theory 2017
Coding theory › error-correcting codes › decoding
decoding algorithms
0.112017
Variable-Length Prefix Codes With Multiple Delimiters · IEEE Trans. Inf. Theory 2017

Methods — techniques the papers use, named apart from their topics

simulation · 0.3combinatorial analysis · 0.3
YearPublicationVenuePosition
2020 Reverse Multi-Delimiter Compression Codes
abstract
An enhanced version of a recently introduced family of variable length binary codes with multiple pattern delimiters is presented and discussed. These codes are complete, universal, synchronizable, they have monotonic indexing and allow a standard search in compressed files. Comparing the compression rate on natural language texts demonstrates that introduced codes appear to be much superior to other known codes with similar properties. A fast byte-aligned decoding algorithm is constructed, which operates much faster than the one for Fibonacci codes.
Igor O. Zavadskyi, Anatoly V. Anisimov
DCC2
2018 English Text Parsing by Means of Error Correcting Automaton
Oleksandr Marchenko, Anatoly V. Anisimov, Igor O. Zavadskyi, Egor Melnikov
NLDB2
2017 Machine Learning Method for Paraphrase Identification
Oleksandr Marchenko, Anatoly V. Anisimov, Andrii Nykonenko, Tetiana Rossada, Egor Melnikov
FQAS2
2017 Authorship Attribution System
Oleksandr Marchenko, Anatoly V. Anisimov, Andrii Nykonenko, Tetiana Rossada, Egor Melnikov
NLDB2
2017 Variable-Length Prefix Codes With Multiple Delimiters
abstract
Let m1, m2, . . . , mt be a fixed set of natural integers given in ascending order. A multi-delimiter code Dm1,...,mtconsists of t words of the form 1mi0 and all other binary words with suffixes having one of the forms 01mi0 that cannot occur in other places of a word, i = 1, . . . , t. Completeness, universality, and density characteristics of multi-delimiter codes are proved. Encoding of integers by multi-delimiter codes is considered in detail. For these codes, fast byte aligned decoding algorithms are also discussed. The comparison of compression rate and decoding speed of Fibonacci codes, (s, c)-dense codes and different multi-delimiter codes is presented. By many useful properties, multi-delimiter codes are superior to Fibonacci codes.
Anatoly V. Anisimov, Igor O. Zavadskyi
IEEE Trans. Inf. Theory1
2014 Semantic and Syntactic Model of Natural Language Based on Tensor Factorization
Anatoly V. Anisimov, Oleksandr Marchenko, Volodymyr Taranukha, Taras Vozniuk
NLDB1
2013 Ukrainian WordNet: Creation and Filling
Anatoly V. Anisimov, Oleksandr Marchenko, Andrey Nikonenko, Elena Porkhun, Volodymyr Taranukha
FQAS1
2013 Prefix Encoding by Means of the $(2, 3)$-Representation of Numbers
abstract
A new family of universal self-synchronizable variable-length codes is introduced. This family is not a generalization or improvement of the existing prefix codes, but is based on a new method of integer representation in a mixed base using the radix-2 and the auxiliary radix-3. Upper length bounds for such codes are obtained. The asymptotic estimates for the (2,3)-encoding including the pointwise redundancy are also given. In particular, this implies that the average length of a (2,3)-codeword is shorter than that of Fibonacci code. Elias gamma and delta codes are adopted for the (2,3) -variant with asymptotically shorter codewords as against the original case. Improvement of gamma and delta encoding for all numbers is also presented. One of (2,3)-codes with high density is highlighted as a possible candidate for practical use in data compression. The (2,3) -codes are very simple to construct and they have evident features of strong robustness.
Anatoly V. Anisimov
IEEE Trans. Inf. Theory1
2012 GPU-Accelerated Non-negative Matrix Factorization for Text Mining
Volodymyr Kysenko, Karl Rupp, Oleksandr Marchenko, Siegfried Selberherr, Anatoly V. Anisimov
NLDB5
2003 On the Average Redundancy Rate of Adaptive Block Codes under Mixed Sources
abstract
Summary form only given. The average redundancy rate of Krichevsky's sample-based universal block codes was analyzed, in a situation wherein the samples and block codes for compression were produced from two different memoryless sources. It was proven that the average redundancy rate of adaptive block codes O/sub /spl lscr/,T/, constructed using samples of length /spl lscr/ from a source T, were used to encode block codes of length n from a source S. The adaptive block codes, constructed using samples from a source T and applied to a source S, have achieved lower average redundancy than universal codes.
Yuriy A. Reznik, Anatoly V. Anisimov
DCC2
1987 Stable Finite Automata Mappings and Church-Rosser Systems
Anatoly V. Anisimov, Vladimir A. Oleshchuk
FCT1
1975 Languages Over Free Groups
Anatoly V. Anisimov
MFCS1
1973 Top-down Analysis of Programming Languages without Backtrack (in Russian)
Anatoly V. Anisimov
MFCS1