Integrating recognition and reasoning in smart environments

IET Conference Publications

Volumn , Issue 541 CP, 2008, Pages

  Menon, V ^a   Jayaraman, B ^b   Govindaraju, V ^b  

^a AMRITA UNIVERSITY   (India)

^b UNIVERSITY AT BUFFALO   (United States)

Author keywords

Biometrics; Precision; Recall; Recognition; Smart environments; Spatio Temporal Reasoning

Indexed keywords

PRECISION; RECALL; RECOGNITION; SMART ENVIRONMENTS; SPATIO-TEMPORAL REASONING;

ABSTRACTING; INTELLIGENT AGENTS; SECURITY OF DATA; VIDEO CAMERAS;

BIOMETRICS;

EID: 70350150039     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1049/cp:20081148     Document Type: Conference Paper

References (23)

1. N. Abe, M. Kudo, Non-parametric classifier-independent feature selection, Pattern Recognition, Vol. 39, No. 5, pp. 737-746, 2005.
2. P. A Castillo, J. Carpio, J. J. Merelo, A. Prieto, V. Rivas, G. Romero. Evolving multilayer perceptrons, Neural Processing Letters, Vol. 12, pp. 115-127, 2000.
3. L. M. Fujita, Neural Networks in Computer Intelligence, McGraw-Hill, 1994.
4. R. Ghosh, B. Verma. A hierarchical method for finding optimal architecture and weights using evolutionary least square based learning", International Journal of Neural Systems, Vol. 13, pp. 13-24, 2003.
5. J. N. D. Gupta, R. S. Sexton. Comparing backpropagation with a genetic algorithm for neural network training, International Journal of Management Science, Vol. 27, pp. 679-684, 1999.
6. K. Kaemarun, Distribution of WLAN received Signal strength indication for indoor location determination, Proceeding of 1st International Symposium on Wireless Pervasive Computing, 16-18 Jan. 2006.
7. H. Karl and A. Willig. Protocols and Architectures for Wireless Sensor Networks, John Wiley & Sons Inc, 2005.
8. K. J. Kim, I. Han. Genetic algorithms approach to feature discretization in artificial neural networks for the prediction of stock price index, Expert System with Application, Vol. 19, pp. 125-132, 2000.
9. O. Lezoray, H. Cardot. A neural network architecture for data classification, International Journal of Neural Systems, Vol. 11, pp. 33-42, 2001.
10. S. W. Lin, T. Y. Tseng, S. Y. Chou, S. S. Chen. A Simulated-annealing- based Approach for Simultaneous Parameter Optimization and Feature Selection of Back-Propagation Networks, Expert Systems with Applications, Vol. 34, pp. 1491-1499, 2008.
11. N. Patwari, J. N. Ash, S. Kyperountas, A. O. Hero, R. L. Moses, N. S. Correal. Locating the Nodes: Cooperative localization in wireless sensor networks, IEEE Signal Processing Magazine, Vol. 22, No. 4, pp. 54-69, 2005.
12. R. Reed, Pruning algorithms - a survey, IEEE Transactions on Neural Networks, Vol. 4, 1993, pp. 740-747, 1993
13. H. E. Romeijn, R. L. Smith, Simulated annealing constrained global optimization, Journal of Global Optimization, Vol. 5, pp. 101-126, 1994.
14. J. Scott, M. Hazas. User-friendly surveying techniques for location-aware systems, Proceedings of the UbiComp 2003, Berlin Heidelberg, pp. 44-53, 2003.
15. R. S. Sexton, B Alidaee, R. E. Dorsey, J. D. Johnson. Global optimization for artificial neural networks: a tabu search application", European Journal of Operational Research, Vol. 106, pp. 570-584, 1998.
16. R. S. Sexton, S. McMurtrey, D. J. Cleavenger. Knowledge discovery using a neural network simultaneous optimization algorithm on a real world classification problem, European Journal of Operational Research, Vol. 168, pp. 1009-1018, 2006.
17. J. Sietsma, R. Dow, Neural net pruning - why and how, ICCN-87, 1987, pp. 325-333.
18. M. Stella, M. Russo, D. Begusic. Location determination in indoor environment based on RSS fingerprinting and artificial neural network, Proceedings of the 9th International Conference on Telecommunications, pp. 301-305, 2007.
19. A. Verikas, V. M. Bacauskiene, Feature selection with neural networks, Pattern Recognition Letters, 23, pp. 1323-1335, 2002.
20. B. Verma, Fast Training of Multilayer Percertons, IEEE Transactions on Neural Networks, Vol. 8, No. 6, 1997, pp. 1314-1320.
21. th International Symposium ELMAR, pp. 287-290, 2005.
22. B. Widrow. Layered neural nets for pattern recognition, IEEE Transactions on Acoustics, Speech, and Signal Processing, Vol. 36, No. 7, pp. 1109-1117, 1988.
23. D. Yamazaki, M. C. Souto, P. Luderimir, Optimization of neural network weights and architectures for outdoor recognition using simulated annealing, Proceedings of IEEE on Neural Networks, 1, pp. 547-552, 2002.