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Pattern Recognition with Slow Feature Analysis
Characteristic analysis nonlinear function the input data the function of learning
2015/7/31
Slow feature analysis (SFA) is a new unsupervised algorithm to learn nonlinear functions that extract slowly varying signals out of the input data. In this paper we describe its application to pattern...
COMPARISON OF PARSING TECHNIQUES FOR THE SYNTACTIC PATTERN RECOGNITION OF SIMPLE SHAPES
algorithms vision pattern recognition understanding
2015/6/2
Syntactic Pattern Recognition is a procedure, widely used in Cartography and Remote Sensing, that trusts upon matching of sections
of maps and/or images or 3D models with archetypes or objects (pars...