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19932026
most citedSmooth PARAFAC Decomposition for Tensor Completion

296 citations

Showing 2018Show all

21 papers · 1 filter

cs.DC2018★ 5 cited

Logarithmic Expected-Time Leader Election in Population Protocol Model

Yuichi Sudo, Fukuhito Ooshita, Taisuke Izumi +2

In this paper, the leader election problem in the population protocol model is considered. A leader election protocol with logarithmic stabilization time is given. Given a rough kn…

cs.IT2018★ 5 cited

Trainable Projected Gradient Detector for Massive Overloaded MIMO Channels: Data-driven Tuning Approach

Satoshi Takabe, Masayuki Imanishi, Tadashi Wadayama +2

This paper presents a deep learning-aided iterative detection algorithm for massive overloaded multiple-input multiple-output (MIMO) systems where the number of transmit antennas $…

stat.ML2018★ 11 cited

Safe RuleFit: Learning Optimal Sparse Rule Model by Meta Safe Screening

Hiroki Kato, Hiroyuki Hanada, Ichiro Takeuchi

We consider the problem of learning a sparse rule model, a prediction model in the form of a sparse linear combination of rules, where a rule is an indicator function defined over…

nucl-th2018★ 7 cited

Nascent fragment shell effects on the nuclear fission processes in semiclassical periodic orbit theory

Ken-ichiro Arita, Takatoshi Ichikawa, Kenichi Matsuyanagi

Making use of the semiclassical periodic orbit theory (POT), we propose, for the first time, a method to exclusively evaluate the shell effects associated with each of the nascent…

cond-mat.str-el2018★ 8 cited

Localization and delocalization of fermions in a background of correlated spins

Tetsuya Takaishi, Kazuhiko Sakakibara, Ikuo Ichinose +1

We study the (de)localization phenomena of one-component lattice fermions in spin backgrounds. The O(3) classical spin variables on sites fluctuate thermally through the ordinary n…

math.FA2018

On a norm inequality for a positive block-matrix

Tomohiro Hayashi

For a positive semidefinite matrix , we consider the norm inequality . We show that this inequality holds unde…