We propose a new robust estimator for parameter estimation in highly noisy data with multiple structures and without prior information on the noise scale of inliers. This is a diag...
Trung Ngo Thanh, Hajime Nagahara, Ryusuke Sagawa, ...
Minimal perfect hash functions have been shown to be useful to compress data in several data management tasks. In particular, order-preserving minimal perfect hash functions [10] ...
Djamal Belazzougui, Paolo Boldi, Rasmus Pagh, Seba...
We present a correlation study of time-varying multivariate volumetric data sets. In most scientific disciplines, to test hypotheses and discover insights, scientists are interest...
Previous research has investigated how people either navigate the web as a whole, or find information on websites of which they have little previous knowledge. However, it is now ...
Requirements Driven Agent Collaboration (RDAC) is a mechanism where the self-interested service agents actively and autonomously search for the required services submitted by the ...