output
19992026
most citedA Comprehensive Survey on Graph Neural Networks

10.1k citations

Showing 2016Show all

102 papers · 1 filter

cs.IT2016★ 22 cited

Secure Transmissions Using Artificial Noise in MIMO Wiretap Interference Channel: A Game Theoretic Approach

Peyman Siyari, Marwan Krunz, Diep N. Nguyen

We consider joint optimization of artificial noise (AN) and information signals in a MIMO wiretap interference network, wherein the transmission of each link may be overheard by se…

cs.CV2016★ 2 cited

Few-Shot Object Recognition from Machine-Labeled Web Images

Zhongwen Xu, Linchao Zhu, Yi Yang

With the tremendous advances of Convolutional Neural Networks (ConvNets) on object recognition, we can now obtain reliable enough machine-labeled annotations easily by predictions…

nlin.AO2016★ 13 cited

Emergent pattern formation in an interstitial biofilm

Cameron Zachreson, Christian Wolff, Cynthia B. Whitchurch +1

Collective behavior of bacterial colonies plays critical roles in adaptability, survivability, biofilm expansion and infection. We employ an individual-based model of an interstiti…

cs.LG2016★ 30 cited

Automatic Composition and Optimization of Multicomponent Predictive Systems With an Extended Auto-WEKA

Manuel Martin Salvador, Marcin Budka, Bogdan Gabrys

Composition and parameterization of multicomponent predictive systems (MCPSs) consisting of chains of data transformation steps are a challenging task. Auto-WEKA is a tool to autom…

cs.RO2016★ 12 cited

Automatic Interpretation of Unordered Point Cloud Data for UAV Navigation in Construction

M. D. Phung, C. H. Quach, D. T. Chu +3

The objective of this work is to develop a data processing system that can automatically generate waypoints for navigation of an unmanned aerial vehicle (UAV) to inspect surfaces o…

math.PR2016

New and refined bounds for expected maxima of fractional Brownian motion

Konstantin Borovkov, Yuliya Mishura, Alexander Novikov +1

For the fractional Brownian motion with the Hurst parameter value in (0,1/2), we derive new upper and lower bounds for the difference between the expectations of the maxi…