Transformation Invariance In Pattern Recognition: Tangent Distance And Propagation | 128 | 15.38 | 2000 |
Moat: A Virtual Private Network Appliance and Services Platform | 3 | 0.54 | 1999 |
Transformation Invariance in Pattern Recognition-Tangent Distance and Tangent Propagation | 139 | 19.81 | 1996 |
2nd order adiabatic computation with 2N-2P and 2N-2N2P logic circuits | 53 | 6.85 | 1995 |
Improving rejection performance on handwritten digits by training with “rubbish” | 17 | 2.11 | 1993 |
Off Line Recognition of Handwritten Postal Words Using Neural Networks | 11 | 7.42 | 1993 |
Writer-adaptation for on-line handwritten character recognition | 15 | 4.51 | 1993 |
Learning Curves: Asymptotic Values and Rate of Convergence | 18 | 9.70 | 1993 |
Efficient Pattern Recognition Using a New Transformation Distance | 242 | 141.65 | 1992 |
An efficient algorithm for learning invariance in adaptive classifiers | 11 | 6.11 | 1992 |
Computer aided cleaning of large databases for character recognition | 10 | 92.40 | 1992 |
Reading Handwritten Digits: A ZIP Code Recognition System | 19 | 14.99 | 1992 |
Design of a neural network character recognizer for a touch terminal | 84 | 91.93 | 1991 |
Multidigit Recognition Using A Space Displacement Neural Network | 49 | 15.74 | 1991 |
Transforming neural-net output levels to probability distributions | 41 | 49.82 | 1990 |
Handwritten zip code recognition with multilayer networks | 58 | 21.06 | 1990 |
Exhaustive Learning. | 17 | 33.98 | 1990 |
Handwritten digit recognition with a back-propagation network | 577 | 729.13 | 1989 |
Backpropagation Applied to Handwritten Zip Code Recognition. | 1543 | 570.02 | 1989 |
Handwritten digit recognition: applications of neural network chips and automatic learning | 77 | 37.17 | 1989 |
Neural network recognizer for hand-written zip code digits | 33 | 268.07 | 1988 |
Large Automatic Learning, Rule Extraction, and Generalisation | 74 | 370.90 | 1987 |
Microelectronic Implementations of Connectionist Neural Networks | 0 | 0.34 | 1987 |
Network Generality, Training Required, and Precision Required | 11 | 1.36 | 1987 |
Strategies for Teaching Layered Networks Classification Tasks | 15 | 13.83 | 1987 |