vectors
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Neural Network Representations for the Inter- and Intra-Class Common Vector Classifiers
In this work, we explore this schematic similarity to come up with an ANN representation for both CVA and DCVA. The new representation eliminates the need for projection matrices in its implementation, hence significantly reduces the memory requirements and computational… Continue reading
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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
Pattern Recognition Research Lab. 