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A neural network for data association
1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258), 1999This paper presents a new neural solution for solving the data association problem. This problem, also known as the multidimensional assignment problem, arises in data fusion systems like radar and sonar targets tracking, robotic vision... Since it leads to an NP-complete combinatorial optimization, the optimal solution can not be reached in an ...
Michel Winter, Gérard Favier
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Evidential Data Association Filter
2010The problem of multi-target tracking in clutter environment has been shown to be very challenging for both the measurement to track association and the targets’ state estimation. Several approaches have been put forward to deal with such issue. Especially, the family of joint probabilistic data association and its modified versions has been very ...
Ahmed Dallil +2 more
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Data Visualization Association Algorithm Based on Spatio-Temporal Association Big Data
2020This paper mainly studies and realizes the spatio-temporal multidimensional visualization under the big data environment. By analyzing the spatiotemporal correlation of wireless sensor networks under the random large-scale dense deployment of sensor nodes, ensure that there is no monitoring blind spot in the area, the accuracy of data sampling and the ...
Zhang Zhang, Liang Tian
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Semantic data modeling of hypermedia associations
ACM Transactions on Information Systems, 1993Many important issues in the design and implementation of hypermedia system functionality focus on the way interobject connections are represented, manipulated, and stored. A prototypic system called HB1 is being designed to meet the storage needs of next-generation hypermedia system architectures.
Schnase, John L. +3 more
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Using Queries to Associate Metadata with Data
2007 IEEE 23rd International Conference on Data Engineering, 2007As relational databases proliferate and become increasingly complex, both in their internal structure and in their interactions with other databases and applications, there is a growing need to associate a variety of metadata with the underlying data. Even though the need has been apparent, a simple, elegant approach to uniformly model and query both ...
D. Srivastava, Velegrakis, Ioannis
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ACE: An Associative Calculus Data Structure
Journal of Parallel and Distributed Computing, 1998zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jerry L. Potter, Kathy J. Liszka
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Associative tabular data structures
ACM SIGPLAN Notices, 1971A data structure may be defined as an organized set of words (comprising more than one word) in memory for which an accessing procedure is provided. According to this definition, an ALGOL array is a data structure, as are the list structures used in LISP and the more elaborate structures of the same type in which blocks of words are linked by pointers.
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Visualization of Graphs with Associated Timeseries Data
Proceedings of the 2005 IEEE Symposium on Information Visualization (INFOVIS'05), 2005The most common approach to support analysis of graphs with associated time series data include: overlay of data on graph vertices for one timepoint at a time by manipulating a visual property (e.g. color) of the vertex, along with sliders or some such mechanism to animate the graph for other timepoints.
Purvi Saraiya +2 more
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Scoring the Data Using Association Rules
Applied Intelligence, 2003zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Liu, B., Ma, Y., Wong, C.K., Yu, P.S.
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Intensional associations between data and metadata
Proceedings of the 2007 ACM SIGMOD international conference on Management of data, 2007There is a growing need to associate a variety of metadata with the underlying data, but a simple, elegant approach to uniformly model and query both the data and the metadata has been elusive. In this paper, we argue that (1) the relational model augmented with queries as data values is a natural way to uniformly model data, arbitrary metadata and ...
D. Srivastava, Velegrakis, Ioannis
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