Current research on shape based classification has been generally aimed at utilising various visual features. Previous research has shown that the existing knowledge in a specific...
Cascades of classifiers constitute an important architecture for fast object detection. While boosting of simple (weak) classifiers provides an established framework, the design of...
Learning vector quantization (LVQ) constitutes a powerful and intuitive method for adaptive nearest prototype classification. However, original LVQ has been introduced based on he...
Most classification tasks that have been tackled for automation are ones involving complex chains of causal reasoning. However, our daily lives are filled with simple classificati...