We study the problem of continuous monitoring of top-k queries over multiple non-synchronized streams. Assuming a sliding window model, this general problem has been a well addres...
Training datasets for learning of object categories are often contaminated or imperfect. We explore an approach to automatically identify examples that are noisy or troublesome fo...
Anelia Angelova, Yaser S. Abu-Mostafa, Pietro Pero...
The availability of a large, freely redistributable set of highquality annotated images is critical to allowing researchers in the area of automatic annotation, generic object rec...
In this paper, we introduce a novel framework for clustering web data which is often heterogeneous in nature. As most existing methods often integrate heterogeneous data into a un...
A normal form object-oriented entity relationship (OOER) diagram is presented to address a set of 00 data modelling issues, viz. the inability to judge the quality of an 00 schema,...