EDBT 2026 Demo / reviewers in the wild / expert
Allen Klinger
dblp:00/2377
· DBLP profile ↗
13ranked-venue papers
5as first author
0since 2021 · last 2004
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Software engineering, systems software and programming languages · 4 · 2 first-authorArtificial intelligence and machine learning · 3 · 1 first-authorSystems, architecture and hardware · 2 · 1 first-authorTheory of computation · 2Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-authorHuman-computer interaction and ubiquitous computing · 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.
| Databases, data mining, and information retrieval
2 papers |
Database system architecture and tuning · 34% Data models and query languages · 34% Spatial and temporal data management · 17% | |
| Computer graphics and multimedia
3 papers |
Image and video processing · 37% Image and video coding · 29% Multimedia analysis and retrieval · 17% | |
| Human-computer interaction and pervasive computing
1 paper |
Interaction techniques and input · 100% | |
| Software engineering, system software, and programming languages
1 paper |
Software testing · 100% | |
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Bioinformatics and computational biology · 100% |
Topics — the 9 heaviest of 13, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Spatial and temporal data management
spatial indexing |
0.0 | 1 | 1979 | Organization and Access of Image Data by Areas · IEEE Trans. Pattern Anal. Mach. Intell. 1979 |
Software testing
test input generation |
0.0 | 1 | 1977 | Artificial Patterns · IEEE Trans. Software Eng. 1977 |
Image and video coding › transform coding
hadamard transform |
0.0 | 1 | 1972 | Real-Time Walsh-Hadamard Transformation · IEEE Trans. Computers 1972 |
Image and video processing
image transform |
0.0 | 1 | 1972 | Real-Time Walsh-Hadamard Transformation · IEEE Trans. Computers 1972 |
Bioinformatics and computational biology › genomics › genome analysis
chromosome analysis |
0.0 | 1 | 1971 | Computer Analysis of Chromosome Patterns: Feature Encoding for Flexible Decision Making · IEEE Trans. Computers 1971 |
Indexing and storage engines
tree structures |
0.0 | 1 | 1979 | Organization and Access of Image Data by Areas · IEEE Trans. Pattern Anal. Mach. Intell. 1979 |
Visual content generation and editing
face editing |
0.0 | 1 | 1977 | Conversational Text Input for Modifying Graphics Facial Images · Int. J. Man Mach. Stud. 1977 |
Multimedia analysis and retrieval
image analysis |
0.0 | 1 | 1977 | Artificial Patterns · IEEE Trans. Software Eng. 1977 |
Image and video processing
real-time image processing |
0.0 | 1 | 1972 | Real-Time Walsh-Hadamard Transformation · IEEE Trans. Computers 1972 |
Methods — techniques the papers use, named apart from their topics
stacked-image logical database structure · 0.0gridded data representation · 0.0row-column decomposition · 0.0parallel hardware transformation · 0.0pattern recognition · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2004 | Three aspects of super-recursive algorithms and hypercomputation or finding black swans
Mark Burgin, Allen Klinger |
Theor. Comput. Sci. | 2 |
| 2004 | Experience, generations, and limits in machine learning
Mark Burgin, Allen Klinger |
Theor. Comput. Sci. | 2 |
| 1989 | A Parallel Implementation of the Scan Language
Nikolaos G. Bourbakis, Christos Alexopoulos, Allen Klinger |
Comput. Lang. | 3 |
| 1989 | A hierarchical picture coding scheme
Nikolaos G. Bourbakis, Allen Klinger |
Pattern Recognit. | 2 |
| 1988 | A hierarchical coding of reduced picture informationabstractThe coding of a reduced amount of picture information for a high speed transmission is discussed. The authors present a recursive algorithm ZETA, which scans the elements of a 2-D picture P(N,N) implementing the basis of a hierarchical pyramid. A simple average procedure is also provided, which accepts as input the N/sup 2/ pixels produced by the ZETA algorithm and constructs the exponential pyramid data structure of (4N/sup 2/-1)/3 elements for the picture P. This pyramidal scheme is used to produce the minimal picture tree by applying the regular decomposition methodology. A hierarchical orthogonal transformation is applied on the minimal picture tree realizing the reduced picture coding.> Nikolaos G. Bourbakis, Allen Klinger |
COMPSAC | 2 |
| 1988 | Point data analysis
Allen Klinger, Warren K. Fox |
Comput. Graph. | 1 |
| 1984 | Database Structure and Manipulation Capabilities of a Picture Database Management System (PICDMS)abstractThe database structure and data manipulation capabilities of a generalized PICture Database Management System (PICDMS) are presented. They are based on a dynamic, stacked-image, logical database structure that uses gridded, rather than topological, data representation. A prototype PICDMS has been designed and implemented. A commercial version is being used as a generator of image processing programs. The system has novel capabilities for nonprogrammer users: it is able to 1) build multiple-variable databases from photographs and other two-dimensional data sources such as maps, drawings, etc., and 2) manipulate such data using simple logical commands. Physical organization and accessing strategies are outlined. A summary of the PICDMS data manipulation capabilities is presented and a subset of operations is illustrated with brief examples. A comprehensive example displays PICDMS capabilities and the programming advantages it possesses over other approaches. Margaret Chock, Alfonso F. Cardenas, Allen Klinger |
IEEE Trans. Pattern Anal. Mach. Intell. | 3 |
| 1979 | Organization and Access of Image Data by AreasabstractThis paper concerns methods for indexing areas in twodimensional array data. A method for naming subpictures from rasterscan image data is presented with notation that eases their subsequent storage access. Equations are given for converting each subpicture name into a storage-location pointer. A function ``NUMERIC'' is described that aids this task. Algorithms enabling efficient retrieval of subpicture areas from sequential and direct access files are presented. Examples are given that show that improved retrieval response is possible from using NUMERIC to sort lists of areas to be recalled. The paper includes an overview of tree data structures, the subject implemented by these techniques. An overlapping picture subareas storage scheme is discussed. Allen Klinger, Michael L. Rhodes |
IEEE Trans. Pattern Anal. Mach. Intell. | 1 |
| 1977 | Conversational Text Input for Modifying Graphics Facial Images
Michael L. Rhodes, Allen Klinger |
Int. J. Man Mach. Stud. | 2 |
| 1977 | Guest Editorial - Data Structures and Pattern Recognition
Allen Klinger |
IEEE Trans. Software Eng. | 1 |
| 1977 | Artificial PatternsabstractThis paper deals with obtaining a data base for test and evaluation of large software systems, when at most, only a few typical pattern instances are available. Data structure variation is proposed and demonstrated for some simple images. Relationships to fundamental concepts in computer science methodology are discussed. Allen Klinger |
IEEE Trans. Software Eng. | 1 |
| 1972 | Real-Time Walsh-Hadamard TransformationabstractA technique for obtaining the digital Walsh-Hadamard transform of two-dimensional discrete pictures in real time is presented. A considerable reduction in total time for the transformation of a picture results since the process of scanning and digitizing one picture line overlaps with computations on the previous line. This is accomplished by operating on each picture line as it is generated from the scanner, instead of starting the transformation operation after the entire picture has been scanned. Two theorems are presented which decompose a picture by row or by column to facilitate real-time transformation. Based on these theorems, a hardware machine for real-time parallel Walsh-Hadamard transformation is introduced. Nikitas A. Alexandridis, Allen Klinger |
IEEE Trans. Computers | 2 |
| 1971 | Computer Analysis of Chromosome Patterns: Feature Encoding for Flexible Decision MakingabstractExperimental pattern recognition techniques for processing chromosome slides with a computer are described. The purpose of the computer program is twofold: to illuminate the basic mechanisms by which a human recognizes an object, such as a chromosome, and distinguishes it from other entities; and the employment of these mechanisms is an automatic and precise extraction of chromosome features. Allen Klinger, Arnold Kochman, Nikitas A. Alexandridis |
IEEE Trans. Computers | 1 |