Add to ORKGThesis (S.M.)--Massachusetts Institute of Technology, Dept. of Nuclear Engineering; and, (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2000.Includes bibliographical references (leaves 53-54).by Bikui Chen.S.M
Using simple fiber networks for proof-of-principle demonstrations, we give examples of natural compu...
The resistive-fuse network is a well-known image segmen-tation processing model in which image edges...
With the advent of very large scale integration, simulation of electronic networks has presented a f...
This thesis concerns the use of nonlinear resistive networks for solving ill-posed problems in compu...
Analog models provide a novel framework for understanding and developing algorithms for computer vis...
Abstract: The amount of computation required to solve many early vision problems is prodigious, and ...
of dc equations of nonlinear networks, ” Bell Syst. Tech. J., vol. 48, pp. l-34, 1969. L. 0. Chua an...
A nonlinear switched-capacitor (SC) network for solving the early vision variational problem of edg...
Massachusetts Institute of Technology. Dept. of Electrical Engineering. Thesis. 1974. Ph.D.MICROFICH...
Connectionist modeis, commonly referred to as neural networks, are computing models in which large n...
Issued March 1977.Prepared by University of Split, Split, Yugoslavia, for Ames Research Center under...
We have recently proposed a Cellular Nonlinear Network (CNN) based on nonlinear oscillator proper-ti...
The problem of non-linear data is one of the oldest in experimental science. The solution to this pr...
The detection of discontinuities in motion, intensity, color, and depth is a well-studied but diffic...
International audienceWe use the multistable property of a Cellular Nonlinear Network (CNN) to extra...
Using simple fiber networks for proof-of-principle demonstrations, we give examples of natural compu...
The resistive-fuse network is a well-known image segmen-tation processing model in which image edges...
With the advent of very large scale integration, simulation of electronic networks has presented a f...
This thesis concerns the use of nonlinear resistive networks for solving ill-posed problems in compu...
Analog models provide a novel framework for understanding and developing algorithms for computer vis...
Abstract: The amount of computation required to solve many early vision problems is prodigious, and ...
of dc equations of nonlinear networks, ” Bell Syst. Tech. J., vol. 48, pp. l-34, 1969. L. 0. Chua an...
A nonlinear switched-capacitor (SC) network for solving the early vision variational problem of edg...
Massachusetts Institute of Technology. Dept. of Electrical Engineering. Thesis. 1974. Ph.D.MICROFICH...
Connectionist modeis, commonly referred to as neural networks, are computing models in which large n...
Issued March 1977.Prepared by University of Split, Split, Yugoslavia, for Ames Research Center under...
We have recently proposed a Cellular Nonlinear Network (CNN) based on nonlinear oscillator proper-ti...
The problem of non-linear data is one of the oldest in experimental science. The solution to this pr...
The detection of discontinuities in motion, intensity, color, and depth is a well-studied but diffic...
International audienceWe use the multistable property of a Cellular Nonlinear Network (CNN) to extra...
Using simple fiber networks for proof-of-principle demonstrations, we give examples of natural compu...
The resistive-fuse network is a well-known image segmen-tation processing model in which image edges...
With the advent of very large scale integration, simulation of electronic networks has presented a f...