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» A Quantitative Theory of Neural Computation
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CATA
2000
13 years 8 months ago
Neocognitron for rotated pattern recognition
Ideally computer pattern recognition systems should be insensitive to scaling, translation, distortion and rotation. Many neural network models have been proposed to address this ...
Michael Tran, Siddheswar Ray, Ronald Pose
ARTCOM
2009
IEEE
14 years 2 months ago
Image Segmentation - A Survey of Soft Computing Approaches
—Soft Computing is an emerging field that consists of complementary elements of fuzzy logic, neural computing and evolutionary computation. Soft computing techniques have found w...
N. Senthilkumaran, R. Rajesh
ISMVL
2000
IEEE
105views Hardware» more  ISMVL 2000»
13 years 11 months ago
Computational Neurobiology Meets Semiconductor Engineering
Many believe that the most important result to come out of the last ten years of neural network research is the significant change in perspective in the neuroscience community tow...
Dan W. Hammerstrom
QEST
2007
IEEE
14 years 1 months ago
Probabilistic Model Checking Modulo Theories
— Probabilistic models are widely used to analyze embedded, networked, and more recently biological systems. Existing numerical analysis techniques are limited to finitestate mo...
Björn Wachter, Lijun Zhang, Holger Hermanns
IJCNN
2000
IEEE
13 years 11 months ago
Support Vector Machine for Regression and Applications to Financial Forecasting
The main purpose of this paper is to compare the support vector machine (SVM) developed by Vapnik with other techniques such as Backpropagation and Radial Basis Function (RBF) Net...
Theodore B. Trafalis, Huseyin Ince