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ORCIDJacques J. Vidal
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- affiliation: University of California, Los Angeles, USA
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1990 – 1999
- 1993
[j7]Jeffrey Hoffman, Josef Skrzypek, Jacques J. Vidal:
Cluster network for recognition of handwritten, cursive script characters. Neural Networks 6(1): 69-78 (1993)- 1992
- [j6]Bruce E. Rosen, James M. Goodwin, Jacques J. Vidal:
Process control with adaptive range coding. Biol. Cybern. 66(5): 419-428 (1992) - [j5]James M. Goodwin, Bruce E. Rosen, Jacques J. Vidal:
Image Recognition and Reconstruction Using Associative Magnetic Processing. Int. J. Pattern Recognit. Artif. Intell. 6(1): 157-177 (1992) - 1990
- [c6]Bruce E. Rosen, James M. Goodwin, Jacques J. Vidal:
Adaptive Range Coding. NIPS 1990: 486-492
1980 – 1989
- 1988
- [j4]Tony R. Martinez, Jacques J. Vidal:
Adaptive Parallel Logic Networks. J. Parallel Distributed Comput. 5(1): 26-58 (1988) - [j3]Jacques J. Vidal:
Implementing neural nets with programmable logic. IEEE Trans. Acoust. Speech Signal Process. 36(7): 1180-1190 (1988) - [c5]James M. Goodwin, Bruce E. Rosen, Jacques J. Vidal:
Exploration of learning in an associative magnetic processor. ICNN 1988: 197-204 - [c4]Joseph C. Pemberton, Jacques J. Vidal:
When is the generalized delta rule a learning rule? a physical analogy. ICNN 1988: 309-315 - 1987
- [c3]Bruce E. Rosen, James M. Goodwin, Jacques J. Vidal:
Learning by State Recurrence Detection. NIPS 1987: 642-651 - [c2]Jacques J. Vidal, John Haggerty:
Synchronization in Neural Nets. NIPS 1987: 824-829
1970 – 1979
- 1975
- [j2]Didier H. Schwartzmann, Jacques J. Vidal:
An Algorithm for Determining the Topological Dimensionality of Point Clusters. IEEE Trans. Computers 24(12): 1175-1182 (1975)
1960 – 1969
- 1966
- [c1]Jacques J. Vidal:
A unified approach to deterministic and random errors in hybrid loops. AFIPS Fall Joint Computing Conference 1966: 175-180 - 1965
- [j1]Jacques J. Vidal, S. M. Bawin:
Frequency Analysis of Truncation Errors in RC Networks. IEEE Trans. Electron. Comput. 14(2): 229-233 (1965)
Coauthor Index
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