Kernel machines are a popular class of machine learning algorithms that achieve state of the art accuracies on many real-life classification problems. Kernel perceptrons are among...
This paper proposes a novel technique for performing fast block matching for motion estimation which is optimal, meaning it yields the same results as a full-search investigation....
Stefano Mattoccia, Federico Tombari, Luigi di Stef...
Communication-induced checkpointing protocols that ensure rollback-dependency trackability (RDT) guarantee important properties to the recovery system without explicit coordinatio...
Rodrigo Schmidt, Islene C. Garcia, Fernando Pedone...
The Swath Segment Selection Problem (SSSP) is an NP-hard combinatorial optimization problem arising in the context of planning and scheduling satellite operations. It was defined ...
Roberto Cordone, Federico Gandellini, Giovanni Rig...
Ray tracing and Monte-Carlo based global illumination, as well as radiosity and other finite-element based global illumination methods, all require repeated evaluation of quantita...
Yiorgos Chrysanthou, Daniel Cohen-Or, Dani Lischin...