A model is proposed that relates opportunity recognition to pattern recognition—the process through which individuals perceive emergent patterns among seemingly unrelated stimuli or events. This model suggests that because of their unique knowledge structures (e.g., prototypes, exemplars), specific persons perceive patterns among emerging changes in technology, markets, demographics, etc. that ...

This paper describes a simple modi cation to the sequential minimal optimisation (SMO) training algorithm for support vector machine (SVM) classiers, reducing training time at the expense of a small increase in memory used proportional to the number of training patterns. Results obtained on real-world pattern recognition tasks indicate that the proposed modi cation can more than halve the avera...

Online Chinese handwriting recognition has attracted much research attention recently due to its complexity, wide-spread applications and emerging market demands. This material serves as a guide for pattern recognition researchers who have limited or no background in this language. We provide a brief review of the nature of the problem and challenges of online Chinese handwritten character reco...