Neurons, N-tuples and faces
Enthusiasm for neural computing seems, at present, to know no bounds. Neural networks are powerful pattern classifiers that are normally thought to require custom VLSI devices in order to obtain the advantages of their inherent parallelism. By exploiting N-tuple techniques, the real-time application of such networks is possible, using conventional computers, for such tasks as recognising and locating facial features.
- Kohonen, T.: , Self-organisation and associative memory, 1989 (Springer-VerlagBerlin)
- 1 onward links are available for this reference.
- Bledsoe, W.W., Browning, I.: Proc. Eastern Joint Computer Conference, 1959, p. 225–232
- Kanerva, P.: , Sparse distributed memory, 1988 (MIT PressCambridge, USA)
- Aleksander, I.: , Advanced digital information systems, 1985 (Prentice-Hall InternationalLondon)
- Johnson, M.J., Allinson, N.M., Moon, K.J., Touretzky, D.S.: , Advances in neural information processing systems, 1989 (Morgan KaufmannSan Mateo)
- Allinson, N.M., Johnson, M.J., Taylor, J.G., Mannion, C.L.T.: , New developments in neural computing, 1989 (Adam HilgerBristol)
- Luckman, A.J., Allinson, N.M.: Proc. SPIE, 1990, 1197