The popularity of web objects, and by extension the popularity of the web sites, besides the appearance of clear footprints in user's accesses that show a considerable spatia...
Optimally designing the location of training input points (active learning) and choosing the best model (model selection) are two important components of supervised learning and h...
Abstract--Packet matching plays a critical role in the performance of many network devices and a tremendous amount of research has already been invested to come up with better opti...
Gabor features have been known to be effective for face recognition. However, only a few approaches utilize phase feature and they usually perform worse than those using magnitude ...
—It is well known that the key of Bayesian classifier learning is to balance the two important issues, that is, the exploration of attribute dependencies in high orders for ensu...