Adaptive fusion processor paradigms for fusion of information acquired at different levels of detail

Optical Engineering

Volumn 35, Issue 3, 1996, Pages 634-649

  Dasarathy, Belur V ^a  

^a DYNETICS INC   (United States)

Author keywords

Adaptive learning; Decision fusion; Feature fusion; Multilevel fusion; Nearest neighbor techniques; Sensor fusion

Indexed keywords

EID: 0000927496     PISSN: 00913286     EISSN: None     Source Type: Journal    
DOI: 10.1117/1.600656     Document Type: Article

References (23)

1. B. V. Dasarathy, Decision Fusion, IEEE Computer Press, Los Alamitos, CA (1994).
2. H. S. Ranganath and S. R. F. Sims, "Sell-partitioning neural networks," in Automatic Object Recognition IV, Proc. SPIE 2234, (1994).
3. D. F. Specht, "Probabilistic neural networks," Neural Networks 3(1), 109-118 (1990).
4. B. V. Dasarathy, "Adaptive decision systems with extended learning for deployment in partially exposed environments," Opt. Eng. 34(5), 1269-1280 (1995).
5. B. V. Dasarathy, "CORPS: Class Overlap Region Partitioning Scheme - A tool for feature assessment," in Architecture, Hardware, and Forward-Looking Infrared Issues in Automatic Target Recognition, Proc. SPIE 1957, 215-226 (1993).
6. B. V. Dasarathy, "Decision fusion strategies in multi-sensor environments," IEEE Trans. Systems Man Cybernet. 21(5), 1140-1154 (1991).
7. B. V. Dasarathy, "Fusion strategies for enhancing decision reliability in multisensor environments," Opt. Eng. in this issue (1996).
8. B. V. Dasarathy, Nearest Neighbor (NN) Norms - NN Pattern Classification Techniques, IEEE Computer Press, Los Alamitos, CA (1991).
9. B. V. Dasarathy, "Minimal consistent subset (MCS) identification for optimal nearest neighbor decision systems design," IEEE Trans. Systems Man Cybernet. 24(3), 511-517 (1994).
10. B. V. Dasarathy, "Is your nearest neighbor near enough a neighbor?" in Applications and Research in Information Systems and Sciences, D. G. Lainiotis and N. S. Tzannes, Eds., Vol. 1, pp. 114-117, Hemisphere Publishing (1977).
11. B. Dubuisson and M. Masson, "A statistical decision rule with incomplete knowledge about classes," Pattern Recog. 26(1), 155-165 (1993).
12. D. Chaudhuri, C. A. Murthy, and B. B. Chaudhuri, "A modified metric to compute distance," Pattern Recog. 25(7), 667-677 (1992).
13. V. Ramasubramanian and K. K. Paliwal, "Fast K-dimensional tree algorithms for nearest neighbor search with application to vector quantization encoding," IEEE Trans. Commun. 40(3), 518-531 (1992).
14. V. Ramasubramanian and K. K. Paliwal, "An efficient approximation algorithm for fast nearest-neighbor search based on spherical distance coordinate formulation," Pattern Recog. Lett. 13(7), 471-480 (1992).
15. L. Mico, J. Oncina, and E. Vidal, "An algorithm for finding nearest neighbors in constant average time with a linear space complexity," in 11th IAPR International Conference on Pattern Recognition, Conference B: Pattern Recognition Methodology and Systems, Vol. II, pp. 557-560, IEEE Computer Soc. Press, Los Alamos, CA (1992).
16. M. Kamel and L. Guan, "Fast nearest neighbor search for vector quantization of image data," in 11th IAPR International Conference on Pattern Recognition, Conference C: Image, Speech, and Signal Analysis, Vol. III, pp. 623-626, IEEE Computer Soc. Press, Los Alamos, CA (1992).
17. Q. Jiang and W. Zhang, "An improved method for finding nearest neighbors," Pattern Recog. Lett. 14(7), 531-536 (1993).
18. C.-C. Chang, "A hashing oriented nearest neighbor searching scheme," Pattern Recog. Lett. 14(8), 625-630 (1993).
19. A. Farago, T. Linder, and G. Lugosi, "Fast nearest-neighbor search in dissimilarity spaces," IEEE Trans. Pattern Anal. Machine Intell. 15(9), 957-962 (1993).
20. E. Vidal, "New formulation and improvements of the nearest-neighbor approximating and eliminating search algorithm (AESA)," Pattern Recog. Lett. 15(1), 1-7 (1994).
21. M. L. Mico, J. Oncina, and E. Vidal, "A new version of the nearest-neighbor approximating and eliminating search algorithm (AESA) with linear preprocessing time and memory requirements," Pattern Recog. Lett. 15(1), 9-17 (1994).
22. H. Ishibuchi, H. Tanaka, and H. Okada, "Fuzzy neural networks with fuzzy weights and fuzzy biases," in 1993 IEEE International Conference on Fuzzy Logic and Neural Networks, pp. 1650-1655, IEEE Computer Soc. Press, Los Alamos, CA (1993).
23. S. G. Smyth, "Designing multilayer perceptrons from nearest-neighbor systems," IEEE Trans. Neural Networks 3(2), 329-333 (1992).