vectors
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Necessary Conditions for Successful Application of Intra- and Inter-class Common Vector Classifiers
The study investigates the performance of two Common Vector Approach (CVA) variations, mutual CVA, and Discriminative CVA (DCVA) in image classification. It points to two risks associated with DCVA, particularly when classifying binary images. CVA, handled with care, outperforms DCVA… Continue reading
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Use of gradient and normal vectors for face recognition
Use of gradient and normal vectors for face recognition The main objective of this study is to compare face recognition accuracies in the case when the grey levels in each pixel of the face images are replaced by the gradient… Continue reading
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Two Pseudo-Common Vectors for Pattern Recognition
Two Pseudo-Common Vectors for Pattern Recognition In this paper, the mathematical model used in finding the common vectors of classes in pattern recognition problems is reconsidered to obtain possible alternative solutions for the common vectors. Since the number of unknowns… Continue reading
Pattern Recognition Research Lab. 