Abstract--This paper presents a novel and domainindependent approach for graph-based structure learning. The approach is based on solving the Maximum Common SubgraphIsomorphism pro...
Learning visual classifiers for object recognition from weakly labeled data requires determining correspondence between image regions and semantic object classes. Most approaches u...
When collaborating agents share sensitive information to achieve a common goal it would be helpful to them to decide whether doing so will lead to an unwanted release of confiden...
This paper addresses the problem of Named Entity Recognition in Query (NERQ), which involves detection of the named entity in a given query and classification of the named entity...
We describe two new paradigms on how to obtain ordinary signatures that are secure against existential forgery under adaptively chosen message attacks (fully-secure, in short), fro...
Jin Li, Kwangjo Kim, Fangguo Zhang, Duncan S. Wong