Large amounts of (often valuable) information are stored in web-accessible text databases. "Metasearchers" provide unified interfaces to query multiple such databases at...
Panagiotis G. Ipeirotis, Alexandros Ntoulas, Jungh...
As information becomes available in increasing amounts to a wide spectrum of users, the need for a shift towards a more user-centered information access paradigm arises. We develo...
Online Boosting is an effective incremental learning method which can update weak classifiers efficiently according to the object being trackedt. It is a promising technique for o...
In this paper, we propose a novel framework of object categorization, namely layered object categorization, which takes advantage of hierarchical category information and performs...
In this paper, we propose a new data reduction algorithm that iteratively selects some samples and ignores others that can be absorbed, or represented, by those selected. This alg...