We propose an algorithm to perform causal inference of the state of a dynamical model when the measurements are corrupted by outliers. While the optimal (maximumlikelihood) soluti...
Andrea Vedaldi, Hailin Jin, Paolo Favaro, Stefano ...
Nowadays, Architecture Description Languages (ADLs) are getting popular to speed up the development of complex SoC design, by performing the design space explon a higher level of ...
Oliver Schliebusch, Anupam Chattopadhyay, Ernst Ma...
Dense subgraphs of sparse graphs (communities), which appear in most real-world complex networks, play an important role in many contexts. Computing them however is generally expe...
In general, motion compensated (MC) deinterlacing algorithms can outperform non-MC (NMC) ones. However, we often prefer to choose the latter due to the considerations of error prop...
This paper introduces RankOpt, a linear binary classifier which optimises the area under the ROC curve (the AUC). Unlike standard binary classifiers, RankOpt adopts the AUC stat...