We develop a framework for learning generic, expressive image priors that capture the statistics of natural scenes and can be used for a variety of machine vision tasks. The appro...
We introduce a new method that characterizes typical local image features (e.g., SIFT [9], phase feature [3]) in terms of their distinctiveness, detectability, and robustness to i...
Knowledge Sifter is a scaleable agent-based system that supports access to heterogeneous information sources such as the Web, open-source repositories, XML-databases and the emergi...
Larry Kerschberg, Mizan Chowdhury, Alberto Damiano...
Many face database and recognition systems have been constructed in specially designed studios with various illuminations, poses, and expressions. However, none of these databases...
Increasing application demands are pushing database management systems (DBMSs) towards providing adequate and efficient support for content-based retrieval over multimedia objects...