Cross-modal clustering

Proceedings of the National Conference on Artificial Intelligence

Volumn 2, Issue , 2005, Pages 932-937

  Coen, Michael H ^a  

^a MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COGNITIVE SCIENCES; CROSS-MODAL CLUSTERING; SELF-SUPERVISED ALGORITHM; SENSORY CHANNEL;

ARTIFICIAL INTELLIGENCE; BRAIN; COGNITIVE SYSTEMS; CORRELATION METHODS; INFORMATION ANALYSIS; SENSORY PERCEPTION;

LEARNING ALGORITHMS;

EID: 29344434735     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (23)

1. Amari, S. Topographic organization of nerve fields. Bulletin of Mathematical Biology, 42:339-364, 1980.
2. Bednar, J.A., Choe, Y., De Paula, J., Miikkulainen, R., Provost, J., and Tversky, T. Modeling Cortical Maps with Topographica, Neurocomputing, in press. 2004.
3. Bender, R. E. The Consquest of Deafness (3rd Ed.). Danville, Il: Interstate Publishers. 1981.
4. Calvert, A.G., Spence, C., and Stein, B.E. The Handbook of Multisensory Processes. Bradford Books. 2004
5. Citti, G. and Sarti, A. A conical based model of perceptual completion in the roto-translation space. In Proceeding of the Workshop on Second Order Subelliptic Equations and Applications. Cortona. 2003.
6. Gibbs, A.L and Su, F.E. On choosing and bounding probability metrics. International Statistical Review, vol. 70, number 3, 419-435, 2002
7. Holbrook, A., and Fairbanks, G. Diphthong Formants and their Movements. J. Speech Hear. Res. 5, 38-58. 1962
8. Jelinek, F. Statistical Methods for Speech Recognition. MIT Press. Cambridge, MA. 1997.
9. Kohonen, T. Self-Organization and Associative Memory. Springer-Verlag, Berlin. 1984.
10. Kuhn, H. The Hungarian method for the assignment problem, Naval Res. Logist. Q. 2:83-97. 1955.
11. Lippmann, R.P. Speech recognition by machines and humans. Speech Communication 22, 1-15. 1987.
12. Mase, K., and Pentland, A. Automatic Lipreading by Computer. Trans. IEEE., vol. J73-D-II, No. 6, pp. 796-803, June 1990
13. Massaro, D.W. & Stork, D. G. Sensory integration and speechreading by humans and machines. American Scientist, 86, 236-244. 1988.
14. Mumford, S. Laws in Nature. London, England: Routledge. 2004.
15. Peterson, G.E. and Barney, H.L. Control methods used in a study of the vowels. J.Acoust.Soc.Am. 24, 175-184. 1952.
16. G. Potamianos, C. Neti, J. Luettin, and I. Matthews, Audio-Visual Automatic Speech Recognition: An Overview. In: Issues in Visual and Audio-Visual Speech Processing, G. Bailly, E. Vatikiotis-Bateson, and P. Perrier (Eds.), MIT Press (In Press), 2004
17. Ratnanather, J. T., Barta, P. E., Honeycutt, N. A., Lee, N. G., Morris, H. M., Dziorny, A. C., Hurdal, M. K., Pearlson, G. D., and Miller, M. I. Dynamic programming generation of boundaries of local coordinatized submanifolds in the neocortex: application to the Planum Temporale, NeuroImage, vol. 20, pp. 359-377, 2003
18. Richards, W. (cd.) Natural Computation. Cambridge, MA. The MIT Press. 1988.
19. Stein, B.E., and Meredith, M. A. 1994. The Merging of the Senses. Cambridge, MA. MIT Press.
20. Still, S., and Bialek, W. How many clusters? An information theoretic perspective, Neural Computation. 16:2483-2306, 2004.
21. Sumby, W.H., and Pollack, I. Visual contribution to speech intelligibility in noise. J. Acoust. Soc. Am. 26:212-215. 1954.
22. Summerfield, Q. Some preliminaries to a comprehensive account of audio-visual speech perception, in Dodd, B. and Campbell, R., editors, Hearing by Eye: The psychology of lip-reading. Lawrence Erlbaum Associates, Hillsdale NJ. pgs 3-52. 1987.
23. Thompson, DW. On Growth and Form. New York: Dover Publications. 1917 revised 1942.