Data association (obtaining correspondences) is a ubiquitous problem in computer vision. It appears when matching image features across multiple images, matching image features to ...
Traditional machine learning algorithms assume that data are exact or precise. However, this assumption may not hold in some situations because of data uncertainty arising from mea...
Jiangtao Ren, Sau Dan Lee, Xianlu Chen, Ben Kao, R...
Learning software is not designed for data analysis and mining. Because usage data is not stored in a systematic way, its thorough analysis requires long and tedious preprocessing....
Experimental processes to collect and process proteomics data are increasingly complex, while the computational methods to assess the quality and significance of these data remain...
In this paper, we address the complex problem of rapid modeling
of large-scale areas and present a novel approach for the automatic
reconstruction of cities from remote sensor da...
Charalambos Poullis (CGIT/IMSC/USC), Suya You (Uni...