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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Vera, M. Rey Vega, L. Piantanida, P. |
| Copyright Year | 2015 |
| Description | Author affiliation: Fac. de Ing., Univ. de Buenos Aires, Buenos Aires, Argentina (Vera, M.) || Lab. des Signaux et Syst. (L2S), CentraleSupelec, Gif-sur-Yvette, France (Piantanida, P.) || Fac. de Ing, Univ. de Buenos Aires, Buenos Aires, Argentina (Rey Vega, L.) |
| Abstract | The two-way Information Bottleneck problem, where two nodes exchange information iteratively about two arbitrarily dependent memoryless sources, is considered. Based on the observations and the information exchange, each node is required to extract “relevant information”, measured in terms of the normalized mutual information, from two arbitrarily dependent hidden sources. The optimal trade-off between rates of relevance and complexity, and the number of exchange rounds, is obtained through a single-letter characterization. We further extend the results to the Gaussian case. Applications of our setup arise in the development of collaborative clustering algorithms. |
| Starting Page | 2131 |
| Ending Page | 2135 |
| File Size | 267407 |
| Page Count | 5 |
| File Format | |
| ISSN | 21578117 |
| e-ISBN | 9781467377041 |
| DOI | 10.1109/ISIT.2015.7282832 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-06-14 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Markov processes Complexity theory Random variables Entropy Encoding Mutual information Relevance Information Bottleneck Source coding Interaction Cooperation |
| Content Type | Text |
| Resource Type | Article |
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