Researchers have developed many models to predict and understand human performance in text entry. Most of the models are specific to a technology or fail to account for human fact...
We examine the feasibility of quantitatively characterizing the vulnerabilities in the two major HTTP servers. In particular, we investigate the applicability of quantitative empi...
Sung-Whan Woo, Omar H. Alhazmi, Yashwant K. Malaiy...
We present an example-based surface reconstruction method for scanned point sets. Our approach uses a database of local shape priors built from a set of given context models that ...
Ran Gal, Ariel Shamir, Tal Hassner, Mark Pauly, Da...
A relational probability tree (RPT) is a type of decision tree that can be used for probabilistic classification of instances with a relational structure. Each leaf of an RPT cont...
Cross validation allows models to be tested using the full training set by means of repeated resampling; thus, maximizing the total number of points used for testing and potential...