Výsledky vyhledávání - "Thomas Y. P. Lee"

High-energy and low-jitter picosecond optical pulser for sample and hold

Autor: Chen Kuo Sun, Donald J. Albares, R. Yu, C. T. Chang, Thomas Y. P. Lee, Gail A. Massey

Publikováno v: SPIE Proceedings.

We report the generation of high-energy, low-jitter, and short pulses by gain-switching of a tapered stripe gain- guided laser diode via resonant driving. The application in optically clocked sample-and-hold will be discussed.© (1998) COPYRIGHT SPIE

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::8fbfa6de7a427c7eef2b185db098ca96
https://doi.org/10.1117/12.330388

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Binocular interaction neural network model using parallel channel architecture

Autor: Thomas Y. P. Lee, Clark C. Guest

Publikováno v: SPIE Proceedings.

Stereo vision is the sensation of visual depth that results from the neural response to dissimilarities in the images seen by the two retinas. Psychophysical studies have strongly suggested that stereo disparity exists in the human visual system, and

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f71cd7b239485c2abf5bdb1e3f925484
https://doi.org/10.1117/12.157028

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Design for optoelectronic implementation of visual recognition system

Autor: Clark C. Guest, Thomas Y. P. Lee

Publikováno v: SPIE Proceedings.

The visual recognition system in animals is an inherently parallel system. Existing very large scale integrated circuit implementations have serious limitations on power consumption and computational speed. We propose a highly parallel optoelectronic

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::08e74fa61f64273a8e09004c12f0b1d5
https://doi.org/10.1117/12.141526

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Modified Hebbian learning for large object classes using Neocognitron visual recognition

Autor: Thomas Y. P. Lee, Clark C. Guest

Publikováno v: SPIE Proceedings.

Hebbian learning law plays a very important role in the feedforward learning of neural networks. In multidimensional image space, particularly in vision, the asymmetric multidimensional Hebbian learning law can perform principal component feature ext

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::2fa5bb5ebb00ebd9b6068f5d2d312800
https://doi.org/10.1117/12.130822

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