A Method for Defuzzication by Weighted Distance
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Optimized Nearest Neighbor Methods Cam Weighted Distance & Statistical Confidence
Nearest neighbor classification methods are a useful and a relatively straightforward to implement classification technique. However, despite such appeal, they still suffer from the curse of dimensionality. Additionally, the nature of the data sets may not be wholly applicable to
Developing a Hybrid Method for Weighted Distance-Based Prioritization (HWDP) to Prioritize the Implementation of Urban Intelligent Transportation Systems Projects
a method for defuzzication by weighted distance
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In the paper, a new method for computing weighted distances for Dynamic Time Warping based speaker verification systems is described. Weighted distances use coefficients determined usually globally and this, of course, does not consider the phonetic content of the vocal pattern.
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Convolutional Neural Network (CNN) has been widely applied in the field of synthetic aperture radar (SAR) image recognition. Nevertheless, CNN-based recognition methods usually encounter problem poor feature representation ability due to insufficient labeled SAR images. In additi