Dissimilarity Representation For Pattern Recognition, The: Foundations And ApplicationsThis book provides a fundamentally new approach to pattern recognition in which objects are characterized by relations to other objects instead of by using features or models. This 'dissimilarity representation' bridges the gap between the traditionally opposing approaches of statistical and structural pattern recognition. Physical phenomena, objects and events in the world are related in various and often complex ways. Such relations are usually
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Dissimilarity Representation For Pattern Recognition, The: Foundations And Applications