Though it has cost great research efforts for decades, object recognition is still a challenging problem. Traditional methods based on machine learning or computer vision are stil...
Xin-Jing Wang, Ming Liu, Lei Zhang, Yi Li, Wei-Yin...
In this paper we propose a hierarchical clustering engine, called SnakeT, that is able to organize on-the-fly the search results drawn from 16 commodity search engines into a hier...
The organization of the knowledge on the web is increasingly becoming a social task performed by online communities whose members share a common interest in classifying different t...
In our research on superimposed information management, we have developed applications where information elements in the superimposed layer serve to annotate, comment, restructure...
Sudarshan Murthy, David Maier, Lois M. L. Delcambr...
This paper proposes a hash function family based on feature vocabularies and investigates the application in building indexes for image search. Each hash function is associated wi...