Convolutional networks for images, speech, and time series

[1]  John C. Platt,et al.  Postal Address Block Location Using a Convolutional Locator Network , 1993, NIPS.

[2]  Yoshua Bengio,et al.  Globally trained handwritten word recognizer using spatial representation, space displacement neural networks and hidden Markov models , 1993 .

[3]  Isabelle Guyon,et al.  Recognition-Based Segmentation of On-Line Hand-Printed Words , 1992, NIPS.

[4]  Yann LeCun,et al.  Multi-Digit Recognition Using a Space Displacement Neural Network , 1991, NIPS.

[5]  Yann LeCun,et al.  Reverse TDNN: An Architecture For Trajectory Generation , 1991, NIPS.

[6]  Lawrence D. Jackel,et al.  An analog neural network processor with programmable topology , 1991 .

[7]  Michael C. Mozer,et al.  Perception of multiple objects - a connectionist approach , 1991, Neural network modeling and connectionism.

[8]  James D. Keeler,et al.  Integrated Segmentation and Recognition of Hand-Printed Numerals , 1990, NIPS.

[9]  Françoise Fogelman-Soulié,et al.  Speaker-independent isolated digit recognition: Multilayer perceptrons vs. Dynamic time warping , 1990, Neural Networks.

[10]  Geoffrey E. Hinton,et al.  Phoneme recognition using time-delay neural networks , 1989, IEEE Trans. Acoust. Speech Signal Process..

[11]  Yann LeCun,et al.  Generalization and network design strategies , 1989 .

[12]  Lawrence D. Jackel,et al.  Handwritten Digit Recognition with a Back-Propagation Network , 1989, NIPS.

[13]  Geoffrey E. Hinton,et al.  Learning representations by back-propagating errors , 1986, Nature.

[14]  Yann LeCun,et al.  Learning processes in an asymmetric threshold network , 1986 .