E
E. Sackinger
Researcher at Bell Labs
Publications - 43
Citations - 8715
E. Sackinger is an academic researcher from Bell Labs. The author has contributed to research in topics: Artificial neural network & Chip. The author has an hindex of 21, co-authored 43 publications receiving 7340 citations. Previous affiliations of E. Sackinger include AT&T & Alcatel-Lucent.
Papers
More filters
Proceedings Article
Signature Verification using a "Siamese" Time Delay Neural Network
TL;DR: An algorithm for verification of signatures written on a pen-input tablet based on a novel, artificial neural network called a "Siamese" neural network, which consists of two identical sub-networks joined at their outputs.
Journal ArticleDOI
Signature verification using a “siamese” time delay neural network
Jane Bromley,James W. Bentz,James W. Bentz,Léon Bottou,Léon Bottou,Isabelle Guyon,Yann LeCun,Cliff Moore,Cliff Moore,E. Sackinger,Roopak Shah +10 more
TL;DR: In this article, a Siamese time delay neural network is used to measure the similarity between pairs of signatures, and the output of this half network is the feature vector for the input signature.
Proceedings ArticleDOI
Comparison of classifier methods: a case study in handwritten digit recognition
Léon Bottou,Corinna Cortes,Corinna Cortes,John S. Denker,John S. Denker,Harris Drucker,Harris Drucker,Isabelle Guyon,Lawrence D. Jackel,Yann LeCun,U.A. Muller,E. Sackinger,Patrice Y. Simard,Patrice Y. Simard,Vladimir Vapnik +14 more
TL;DR: This paper compares the performance of several classifier algorithms on a standard database of handwritten digits by considering not only raw accuracy, but also training time, recognition time, and memory requirements.
Comparison of learning algorithms for handwritten digit recognition
Yann LeCun,Lawrence D. Jackel,Léon Bottou,Léon Bottou,A. Brunot,Corinna Cortes,Corinna Cortes,John S. Denker,John S. Denker,Harris Drucker,Harris Drucker,Isabelle Guyon,Urs A. Muller,E. Sackinger,Patrice Y. Simard,Patrice Y. Simard,Vladimir Vapnik +16 more
TL;DR: This comparison of several learning algorithms for handwritten digits considers not only raw accuracy, but also rejection, training time, recognition time, and memory requirements.
Journal ArticleDOI
A high-swing, high-impedance MOS cascode circuit
E. Sackinger,W. Guggenbuhl +1 more
TL;DR: In this paper, a simple cascode with the gate voltage of the cascode transistor being controlled by a feedback amplifier called a regulated cascode is presented, where the minimum output voltage is lower by 30 to 60% while the output conductance and the feedback capacitance are lower by about 100 times.