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Vector quantization (VQ) is a simple and useful data compression algorithm which has been widely applied in many fields such as image processing and pattern recognition. Because each data block is encoded by only one approximate vector in the codebook, the accuracy of the reconstructed blocks is usually poor in VQ. In this paper, the bilinear vector quantization (BVQ) algorithm is proposed with simple...
It is believed that there are between 1000 to 2000 skin conditions, and about 20% are difficult to diagnose. An intelligent system capable of making accurate diagnosis not only helps patients in places where access to health services are scarce, but also benefits typical general practitioners who have received minimal dermatology training. In this paper, we introduce a challenging dataset developed...
For most credit risk assessment models, decision attributes and history data are of great importance in terms of accuracy of prediction. Decision attributes can be classified into two types: numerical and categorical. As these two types have different characteristics, there will be interference if they are used simultaneously in the same model. By applying the case based reasoning (CBR) and artificial...
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