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Bryant W. York

dblp:y/BryantWYork · DBLP profile ↗
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5ranked-venue papers
1as first author
0since 2021 · last 1997
—ORCID · none

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

Artificial intelligence and machine learning · 2 · 1 first-authorGraphics, computer vision, multimedia, augmented reality and games · 2 · 1 first-authorTheory of computation · 2Software engineering, systems software and programming languages · 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.

Computer graphics and multimedia
2 papers
Geometric modeling and processing · 100%
Databases, data mining, and information retrieval
1 paper
Data models and query languages · 100%
Software engineering, system software, and programming languages
1 paper
Programming languages and type systems · 100%

Topics — the 4 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Data models and query languages
type system
0.011984
A Relational Representation of an Abstract Type System · IEEE Trans. Software Eng. 1984
Geometric modeling and processing › shape representation
3d object representation
0.011981
3D Object Representation and Matching with B-Splines and Surface Patches · IJCAI 1981
Geometric modeling and processing
shape matching
0.011981
3D Object Representation and Matching with B-Splines and Surface Patches · IJCAI 1981
Programming languages and type systems
abstract data types
0.011984
A Relational Representation of an Abstract Type System · IEEE Trans. Software Eng. 1984

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

geometric modeling · 0.0
YearPublicationVenuePosition
1997 Constructing Permutation Representations for Matrix Groups
Gene Cooperman, Larry Finkelstein, Michael Tselman, Bryant W. York
J. Symb. Comput.4
1994 Constructing Permutation Representations for Large Matrix Groups
abstract
New techniques, both theoretical and practical, are presented for constructing a permutation representation for a matrix group. We assume that the resulting permutation degree, n, can be 10,000,000 and larger. The key idea is to build the new permutation representation using the conjugation action on a conjugacy class of subgroups of prime order. A unique signature for each group element corresponding to the conjugacy class is used in order to avoid matrix multiplication. The requirement of at least n matrix multiplications would otherwise have made the computation hopelessly impractical. Additional software optimizations are described, which reduce the CPU time by at least an additional factor of 10. Further, a special data structure is designed that serves both as a search tree and as a hash array, while requiring space of only 1.6n log2 n bits.
Gene Cooperman, Larry Finkelstein, Bryant W. York, Michael Tselman
ISSAC3
1984 A Relational Representation of an Abstract Type System
abstract
Programming languages have traditionally had more data types than database systems. The flexibility of abstract types could make a database system more useful in supporting application development. Abstract types allow users to think about and manipulate data in terms and structures that they are familiar with. This paper proposes that databases have a type system interface and describes a representation of a type system in terms of relations. The type system model supports a variety of programming language constructs, such as user-defined parameterized data types and user-defined generic operations. The efficiency of the type system is compared to the access time of the database system.
Daniel L. Weller, Bryant W. York
IEEE Trans. Software Eng.2
1981 3D Object Representation and Matching with B-Splines and Surface Patches
Bryant W. York, Allen R. Hanson, Edward M. Riseman
IJCAI1
1977 Between Regions and Objects - Surfaces and Volumes
Kurt Konolige, Bryant W. York, Allen R. Hanson, Edward M. Riseman
IJCAI2