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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Fernandez, F. Viola, A. Weinberger, M.J. |
| Copyright Year | 2010 |
| Abstract | Bi-directional context sets extend the classical context-tree modeling framework to situations in which the observations consist of two tracks or directions. In this paper, we study the problem of efficiently finding an optimal bi-directional context set for a given data sequence and loss function. This problem has applications in data compression, prediction, and denoising. The main tool in our construction is a new data structure, the compact bi-directional context graph, which generalizes compact suffix trees to two directions. |
| Starting Page | 179 |
| Ending Page | 188 |
| File Size | 403181 |
| Page Count | 10 |
| File Format | |
| ISBN | 9781424464258 |
| ISSN | 10680314 |
| e-ISBN | 9781424464265 |
| DOI | 10.1109/DCC.2010.23 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-03-24 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Bidirectional control Context modeling Data compression Noise reduction Laboratories Tree data structures Tree graphs Error analysis Prediction algorithms Heuristic algorithms compact bi-directional context graphs context modeling bi-directional models suffix trees |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Networks and Communications |
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