330 citations · 358 across the 13 of their papers we have counts for
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cs.CV2014★ 330 cited
Speeding-up Convolutional Neural Networks Using Fine-tuned CP-Decomposition
Vadim Lebedev, Yaroslav Ganin, Maksim Rakhuba +2
We propose a simple two-step approach for speeding up convolution layers within large convolutional neural networks based on tensor decomposition and discriminative fine-tuning. Gi…
cs.SI2014★ 1 cited
Algebraic reputation model RepRank and its application to spambot detection
G. V. Ovchinnikov, D. A. Kolesnikov, I. V. Oseledets
Due to popularity surge social networks became lucrative targets for spammers and guerilla marketers, who are trying to game ranking systems and broadcast their messages at little…
cs.DS2014
Fast, memory efficient low-rank approximation of SimRank
I. V. Oseledets, G. V. Ovchinnikov
SimRank is a well-known similarity measure between graph vertices. In this paper novel low-rank approximation of SimRank is proposed.