no code implementations • 9 Mar 2018 • Zhinus Marzi, Joao Hespanha, Upamanyu Madhow
There is growing evidence regarding the importance of spike timing in neural information processing, with even a small number of spikes carrying information, but computational models lag significantly behind those for rate coding.
no code implementations • 10 Nov 2017 • Amr Alanwar, Henrique Ferraz, Kevin Hsieh, Rohit Thazhath, Paul Martin, Joao Hespanha, Mani Srivastava
Therefore, we propose D-SLATS, a framework comprised of three different and independent algorithms to jointly solve time synchronization and localization problems in a distributed fashion.
no code implementations • 2 Aug 2016 • Victor Fragoso, Walter Scheirer, Joao Hespanha, Matthew Turk
This work introduces the one-class slab SVM (OCSSVM), a one-class classifier that aims at improving the performance of the one-class SVM.