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NPL
2006
109views more  NPL 2006»
13 years 9 months ago
CB3: An Adaptive Error Function for Backpropagation Training
Effective backpropagation training of multi-layer perceptrons depends on the incorporation of an appropriate error or objective function. Classification-based (CB) error functions ...
Michael Rimer, Tony Martinez
JSW
2007
126views more  JSW 2007»
13 years 9 months ago
Efficient Evaluation of Multiple-Output Boolean Functions in Embedded Software or Firmware
— The paper addresses software and firmware implementation of multiple-output Boolean functions based on cascades of Look-Up Tables (LUTs). A LUT cascade is described as a means ...
Vaclav Dvorak
ICPR
2008
IEEE
14 years 10 months ago
Preceding car tracking using belief functions and a particle filter
This article presents a preceding car rear view tracking algorithm which utilizes a particle filter and belief function data fusion. Most of tracking applications resort to only o...
Christèle Lecomte, John Klein, Pierre Mich&...
DAC
2006
ACM
14 years 10 months ago
Symmetry detection for large Boolean functions using circuit representation, simulation, and satisfiability
- Classical two-variable symmetries play an important role in many EDA applications, ranging from logic synthesis to formal verification. This paper proposes a complete circuit-bas...
Jin S. Zhang, Alan Mishchenko, Robert K. Brayton, ...
VLDB
2007
ACM
104views Database» more  VLDB 2007»
14 years 9 months ago
Inverse Functions in the AquaLogic Data Services Platform
When integrating data from heterogeneous sources, it is often necessary to transform both the schemas and the data from the underlying sources in order to present the integrated d...
Nicola Onose, Vinayak R. Borkar, Michael J. Carey