Traditional ranking mainly focuses on one type of data source, and effective modeling still relies on a sufficiently large number of labeled or supervised examples. However, in m...
Bo Wang, Jie Tang, Wei Fan, Songcan Chen, Zi Yang,...
Automatic relevance determination (ARD) and the closely-related sparse Bayesian learning (SBL) framework are effective tools for pruning large numbers of irrelevant features leadi...
Motivated by the problem of customer wallet estimation, we propose a new setting for multi-view regression, where we learn a completely unobserved target (in our case, customer wa...
Placement based on simulated annealing is in dominant use in the FPGA community due to its superior quality of result (QoR). However, given the progression of FPGA device capacity...
Huimin Bian, Andrew C. Ling, Alexander Choong, Jia...
We consider the problem of incrementally rendering a polyhedral scene while the viewpoint is moving. In practical situations the number of geometric primitives to be rendered can ...
Alon Efrat, Leonidas J. Guibas, Olaf A. Hall-Holt,...