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CATA
2000
14 years 11 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
SSPR
2004
Springer
15 years 3 months ago
Symbols Recognition System for Graphic Documents Combining Global Structural Approaches and Using a XML Representation of Data
In this paper we present a symbols recognition system for graphic documents, based on a combination of global structural approaches. Our system allows to extract components and the...
Mathieu Delalandre, Éric Trupin, Jean-Marc ...
IWANN
1999
Springer
15 years 2 months ago
Pattern Recognition System with Top-Down Process of Mental Rotation
A new model which can recognize rotated, distorted, scaled, shifted and noised patterns is proposed. The model is constructed based on psychological experiments in a mental rotatio...
Shunji Satoh, Hirotomo Aso, Shogo Miyake, Jousuke ...
PREMI
2005
Springer
15 years 3 months ago
Approximation Spaces in Machine Learning and Pattern Recognition
Abstract. Approximation spaces are fundamental for the rough set approach. We discuss their application in machine learning and pattern recognition.
Andrzej Skowron, Jaroslaw Stepaniuk, Roman W. Swin...
ICPR
2004
IEEE
15 years 11 months ago
Prototype Setting for Elastic Matching-Based Image Pattern Recognition
Hiroaki Sakoe, Naoki Matsumoto, Seiichi Uchida