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STOC
1993
ACM
141views Algorithms» more  STOC 1993»
15 years 5 months ago
Bounds for the computational power and learning complexity of analog neural nets
Abstract. It is shown that high-order feedforward neural nets of constant depth with piecewisepolynomial activation functions and arbitrary real weights can be simulated for Boolea...
Wolfgang Maass
ICPR
2002
IEEE
16 years 2 months ago
Self-Calibration and Neural Network Implementation of Photometric Stereo
This paper describes a new approach to neural network implementation of photometric stereo for a rotational object with non-uniform reflectance factor. Three input images are acqu...
Yuji Iwahori, Yumi Watanabe, Robert J. Woodham, Ak...
CP
2009
Springer
15 years 8 months ago
Reasoning about Optimal Collections of Solutions
The problem of finding a collection of solutions to a combinatorial problem that is optimal in terms of an inter-solution objective function exists in many application settings. F...
Tarik Hadzic, Alan Holland, Barry O'Sullivan
113
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ICNP
2003
IEEE
15 years 6 months ago
Power Adaptive Broadcasting with Local Information in Ad Hoc Networks
Network wide broadcasting is an energy intensive function. In this paper we propose a new method that performs transmission power adaptations based on information available locall...
Xiaohu Chen, Michalis Faloutsos, Srikanth V. Krish...
GLVLSI
2009
IEEE
146views VLSI» more  GLVLSI 2009»
15 years 5 months ago
A reconfigurable stochastic architecture for highly reliable computing
Mounting concerns over variability, defects and noise motivate a new approach for integrated circuits: the design of stochastic logic, that is to say, digital circuitry that opera...
Xin Li, Weikang Qian, Marc D. Riedel, Kia Bazargan...