Distributed consensus algorithms for SVM training in wireless sensor networks

European Signal Processing Conference

Volumn , Issue , 2008, Pages

  Flouri, K ^a   Beferull Lozano, B ^b   Tsakalides, P ^a  

^a UNIVERSITY OF CRETE   (Greece)

^b UNIVERSITY OF VALENCIA   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

AMOUNT OF INFORMATION; CONVEX HULL; DECISION BOUNDARY; DISTRIBUTED CONSENSUS; GOSSIP ALGORITHMS; SENSOR DATA; SIMULATION EXPERIMENTS; SPARSE REPRESENTATION; SUPPORT VECTOR; SVM-BASED CLASSIFIERS;

ALGORITHMS; GEOMETRY; OPTIMIZATION; SENSORS; SIGNAL PROCESSING;

SUPPORT VECTOR MACHINES;

EID: 84863768146     PISSN: 22195491     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (14)

1. T. Joachims, "Text categorization with support vector machines," in Proc. 10th Eur. Conf. on Machine Learning (ECML'98), Chemnitz, Germany, April 1998, pp. 137-142.
2. E. Osuna, R. Freund, and F. Girosi, "Training support vector machines: An application to face detection," in Proc. of the 1997 Conference on Comp. Vision and Pattern Recogn.,Washington, DC, USA, 1997, p. 130, IEEE Computer Society.
3. A. Bulut, P. Shin, and L. Yan, "Real-time nondestructive structural health monitoring using support vector machines and wavelets," in Proc. of the Conf. on Advanced Sensor Technologies for Nondestructive Evaluation and Structural Health Monitoring (NDE'05), San Diego, CA, USA, March 2005.
4. S. Ruping, "Incremental learning with support vector machines," in Proc. IEEE Int. Conf. on Data Mining, San Jose, CA, USA, November 2001, pp. 641-642.
5. N. Syed, H. Liu, and K. Sung, "Incremental learning with support vector machines," in Proc. of the 16th Int. Joint Conf. on Artificial Intelligence, IJCAI'99, July 1999.
6. C. Domeniconi and D. Gunopoulos, "Incremental support vector machine construction," in IEEE Int. Conf. on Data Mining, ICDM'01, San Jose, CA, USA, November 2001.
7. C. P. Diehl and G. Cauwenberghs, "Support vector machine incremental learning, adaptation and optimization," in Proc. Int. Joint Conf. on Neural Networks, Portland, OR, July 2003.
8. E. Osuna, R. Freund, and F. Girosi, "An improved training algorithm for support vector machines," in Proc. IEEE Workshop on Neural Networks and Signal Processing, NNSP'97, Amelia Island, FL, September 1997, pp. 276-285.
9. K. Flouri, B. Beferull-Lozano, and P. Tsakalides, "Training a SupportVector Machine- based Classifier in Distributed Sensor Networks," in 14nd European Signal Processing Conference (EUSIPCO '06), Florence, Italy, September 4-8, 2006.
10. K. Flouri, B. Beferull-Lozano, and P. Tsakalides, "Energy-Efficient Distributed SupportVector Machines for Wireless Sensor Networks," in Proc. 2006 European Workshop on Wireless Sensor Networks (EWSN '06), Zurich, Switzerland, February 13-15, 2006.
11. A. Ghosh S. Boyd, B. Prabhakar, and D. Shah, "Gossip Algorithms: Design, Analysis and Applications," in INFOCOM, 24th Annual Joint Conference of the IEEE Computer and Communications Societies, Miami, USA, March 2005, pp. 1653-1664.
12. A. Ghosh S. Boyd, B. Prabhakar, and D. Shah, "Randomized Gossip Algorithm," IEEE/ACM Transactions on Networking, vol. 52,6, pp. 2508-2530, 2006.
13. Lin Xiao and Stephen Boyd, "Fast Linear Iterations for Distributed Averaging," in Proc. 42th Conf. on Decision and Control, Hawaii, USA, December 2003, pp. 4997-5002.
14. K. Bennett and C. Campbell, "Support vector machines: hype or hallelujah," SIGKDD Explorations, vol. 2,2, pp. 1-13, 2000.