We consider multivariate density estimation with identically distributed observations. We study a density estimator which is a convex combination of functions in a dictionary and ...
When developing semantic applications, the construction of ontologies is a crucial part. We are developing a semiautomatic ontology construction approach, OntoCase, relying on ont...
se a new abstraction for pointer analysis that represents reads and writes to memory instead of traditional points-to relations. Compared to points-to graphs, our Assign-Fetch Gra...
Marcio Buss, Daniel Brand, Vugranam C. Sreedhar, S...
Conventional subspace learning-based face recognition aims to attain low recognition errors and assumes same loss from all misclassifications. In many real-world face recognition...
Search computing is a novel discipline whose goal is to answer complex, multi-domain queries. Such queries typically require combining in their results domain knowledge extracted ...