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NIPS
1996
13 years 11 months ago
Transformation Invariance in Pattern Recognition-Tangent Distance and Tangent Propagation
In pattern recognition, statistical modeling, or regression, the amount of data is a critical factor affecting the performance. If the amount of data and computational resources ar...
Patrice Simard, Yann LeCun, John S. Denker, Bernar...
IJCAI
1989
13 years 11 months ago
An Empirical Comparison of Pattern Recognition, Neural Nets, and Machine Learning Classification Methods
Classification methods from statistical pattern recognition, neural nets, and machine learning were applied to four real-world data sets. Each of these data sets has been previous...
Sholom M. Weiss, Ioannis Kapouleas
CEC
2008
IEEE
13 years 10 months ago
Design and implementation of a patterns recognition system for analysis of biological liquids
Given the great amount of data that are generated of the experiments to analyze information of extracted chemical fluids of the brain of a rodent, arises the necessity to design an...
Jose Aguilar, Luis Hernandez, Anny Olivar
ISCI
2008
116views more  ISCI 2008»
13 years 10 months ago
On the J-divergence of intuitionistic fuzzy sets with its application to pattern recognition
The importance of suitable distance measures between intuitionistic fuzzy sets (IFSs) arises because of the role they play in the inference problem. A concept closely related to o...
Wen-Liang Hung, Miin-Shen Yang
AMAI
1999
Springer
13 years 9 months ago
Pattern recognition by an optical thin-film multilayer model
This paper describes a computational learning model inspired by the technology of optical thin-film multilayers from the field of optics. With the thicknesses of thin-film layers ...
Xiaodong Li, Martin K. Purvis