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Vladimir N. Potapov

dblp:62/100 · DBLP profile ↗
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13ranked-venue papers
4as first author
3since 2021 · last 2025
0000-0001-9461-2064ORCID · verified

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

Theory of computation · 8 · 2 first-author · 1 since 2021Security and privacy · 3 · 2 first-author · 2 since 2021Graphics, computer vision, multimedia, augmented reality and games · 1Applied, interdisciplinary, general and emerging computing · 1

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
3 papers
Coding theory · 74% Mathematical optimization · 26%

Topics — the 8 heaviest of 9, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Coding theory
covering codes
0.512021
On Multifold Packings of Radius-1 Balls in Hamming Graphs · IEEE Trans. Inf. Theory 2021
Coding theory › error-correcting codes › decoding › list decoding
list-decodable codes
0.512021
On Multifold Packings of Radius-1 Balls in Hamming Graphs · IEEE Trans. Inf. Theory 2021
Mathematical optimization › combinatorial optimization
packing problems
0.512021
On Multifold Packings of Radius-1 Balls in Hamming Graphs · IEEE Trans. Inf. Theory 2021
Coding theory › error-correcting codes
perfect codes
0.212014
Propelinear 1-Perfect Codes From Quadratic Functions · IEEE Trans. Inf. Theory 2014
Coding theory › error-correcting codes › block codes › group codes
propelinear codes
0.212014
Propelinear 1-Perfect Codes From Quadratic Functions · IEEE Trans. Inf. Theory 2014
Coding theory › source coding › quantization › structured vector quantization
lattice quantization
0.011999
Rapid Encoding of Run Lengths and Pyramid Cubic Lattices · IEEE Trans. Inf. Theory 1999
Coding theory › source coding › lossless compression
run-length coding
0.011999
Rapid Encoding of Run Lengths and Pyramid Cubic Lattices · IEEE Trans. Inf. Theory 1999
Coding theory
source coding
0.011999
Rapid Encoding of Run Lengths and Pyramid Cubic Lattices · IEEE Trans. Inf. Theory 1999

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

classification · 0.5asymptotic bounds · 0.5quadratic switching functions · 0.2enumeration algorithm · 0.0
YearPublicationVenuePosition
2025 Generalizing the Bierbrauer-Friedman bound for orthogonal arrays
Denis S. Krotov, Ferruh Özbudak, Vladimir N. Potapov
Des. Codes Cryptogr.3
2024 An asymptotic lower bound on the number of bent functions
Vladimir N. Potapov, Anna A. Taranenko, Yuriy V. Tarannikov
Des. Codes Cryptogr.1
2021 On Multifold Packings of Radius-1 Balls in Hamming Graphs
abstract
A λ-fold r-packing (multiple radius- r covering) in a Hamming metric space is a code C such that the radius- r balls centered in the codewords of C cover each vertex of the space by not more (not less, respectively) than λ times. The well-known r-error-correcting codes correspond to the case λ = 1, while in general multifold r-packing are related with list decodable codes. We (a) propose asymptotic bounds for the maximum size of a q-ary 2-fold 1-packing as q grows; (b) prove that a q-ary distance-2 MDS code of length n is an optimal n-fold 1-packing if q ≥ 2n; (c) derive an upper bound for the size of a binary λ-fold 1-packing and a lower bound for the size of a binary multiple radius-1 covering (the last bound allows to update the small-parameters table); (d) classify all optimal binary 2-fold 1-packings up to length 9, in particular, establish the maximum size 96 of a binary 2-fold 1-packing of length 9; (e) prove some properties of 1-perfect unitrades, which are a special case of 2-fold 1-packings.
Denis S. Krotov, Vladimir N. Potapov
IEEE Trans. Inf. Theory2
2020 On q-ary bent and plateaued functions
Vladimir N. Potapov
Des. Codes Cryptogr.1
2019 On two-fold packings of radius-1 balls in Hamming graphs
abstract
A λ-fold r-packing in a Hamming metric space is a code C such that the radius-r balls centered in C cover each vertex of the space by not more than λ-times. The well-known r- error-correcting codes correspond to the case λ = 1. We propose asymptotic bounds for q-ary 2-fold 1-packings as q grows, find that the maximum size of a binary 2-fold 1-packing of length 9 is 96, and derive upper bounds for the size of a binary λ-fold 1 -packing.
Denis S. Krotov, Vladimir N. Potapov
ISIT2
2019 On shortening u-cycles and u-words for permutations
Sergey Kitaev, Vladimir N. Potapov, Vincent Vajnovszki
Discret. Appl. Math.2
2016 On the number of transversals in latin squares
Vladimir N. Potapov
Discret. Appl. Math.1
2016 Gray coding cubic planar maps
Sergey V. Avgustinovich, Sergey Kitaev, Vladimir N. Potapov, Vincent Vajnovszki
Theor. Comput. Sci.3
2014 Scalar-quantization-based multi-layer data hiding for video coding applications
abstract
In this paper, we present a novel data-hiding method that does not interfere with other data-hiding techniques (e.g., sign bits hiding) that are already included into state-of-the-art coding standards such as HEVC/H.265. One of the main features that are inherent to the proposed technique is its orientation on hierarchically-structured units (e.g., a hierarchy in HEVC/H.265 that includes coding, prediction and transform units). As shown in the paper, this method provides higher coding gain when applied to scalar-quantized values. Finally, we present experimental results that confirm the high RD-performance of this technique in comparison with explicit signaling and discuss its suitability for HEVC-compatible watermarking.
Alexey Filippov, Vasily Rufitskiy, Vladimir N. Potapov
VCIP3
2014 Propelinear 1-Perfect Codes From Quadratic Functions
abstract
Perfect codes obtained by the Vasil'ev-Schönheim construction from a linear base code and quadratic switching functions are transitive and, moreover, propelinear. This gives at least exp(cN2) propelinear 1-perfect codes of length N over an arbitrary finite field, while an upper bound on the number of transitive codes is exp(C(NlnN)2\vphantom)).
Denis S. Krotov, Vladimir N. Potapov
IEEE Trans. Inf. Theory2
2009 n-Ary Quasigroups of Order 4
abstract
We characterize the set of all n-ary quasigroups of order 4: every n-ary quasigroup of order 4 is permutably reducible or semilinear. Permutable reducibility means that an n-ary quasigroup can be represented as a composition of k-ary and $(n-k+1)$-ary quasigroups for some k from 2 to $n-1$, where the order of arguments in the representation can differ from the original order. The set of semilinear n-ary quasigroups has a characterization in terms of Boolean functions.
Denis S. Krotov, Vladimir N. Potapov
SIAM J. Discret. Math.2
2004 Redundancy estimates for the Lempel-Ziv algorithm of data compression
Vladimir N. Potapov
Discret. Appl. Math.1
1999 Rapid Encoding of Run Lengths and Pyramid Cubic Lattices
abstract
We can encode rare events with an overhead of about 1.56 bits/event. The contribution of the overhead to the total length of the code is negligible. The encoding and decoding time counted in operations over bits per bit of the code does not depend on the number of appearances of the events. We also present algorithms of the same speed which enumerate the pyramid cubic lattices with an overhead of about 1.56 bits/dimension. The overhead is the price for reaching the ultimate (to within a constant factor) encoding and decoding speed.
Rafail E. Krichevskiy, Vladimir N. Potapov
IEEE Trans. Inf. Theory2