We present a method for training a similarity metric from data. The method can be used for recognition or verification applications where the number of categories is very large an...
This paper presents a novel approach to pedestrian classification which involves utilizing the synthesized virtual samples of a learned generative model to enhance the classificat...
Abstract-- Data uncertainty is common in real-world applications due to various causes, including imprecise measurement, network latency, outdated sources and sampling errors. Thes...
Multi-dimensional data indexing has received much attention in a centralized database. However, not so much work has been done on this topic in the context of Peerto-Peer systems....
H. V. Jagadish, Beng Chin Ooi, Quang Hieu Vu, Rong...
In many recent applications, data are continuously being disseminated from a source to a set of servers. In this paper, we propose a cost-based approach to construct dissemination...