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20042024
most citedFast, simple and accurate handwritten digit classification by training shallow neural network classifiers with the 'extreme learning machine' algorithm

80 citations · 622 across the 22 of their papers we have counts for

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Showing 2014Show all

5 papers · 1 filter

cs.NE2014★ 80 cited

Fast, simple and accurate handwritten digit classification by training shallow neural network classifiers with the 'extreme learning machine' algorithm

Mark D. McDonnell, Migel D. Tissera, Tony Vladusich +2

Recent advances in training deep (multi-layer) architectures have inspired a renaissance in neural network use. For example, deep convolutional networks are becoming the default op…

cs.ET2014★ 24 cited

Transmit Pulse Shaping for Molecular Communications

Siyi Wang, Weisi Guo, Mark D. McDonnell

This paper presents a method for shaping the transmit pulse of a molecular signal such that the diffusion channel's response is a sharp pulse. The impulse response of a diffusion c…

cs.NI2014★ 7 cited

Distance Distributions for Real Cellular Networks

Siyi Wang, Weisi Guo, Mark D. McDonnell

This paper presents the general distribution for the distance between a mobile user and any base station (BS). We show that a random variable proportional to the distance squared i…

cs.NI2014★ 15 cited

Performance of Macro-Scale Molecular Communications with Sensor Cleanse Time

Siyi Wang, Weisi Guo, Song Qiu +1

In this paper, we consider a molecular diffusion based communications link that conveys information on the macro-scale (several metres). The motivation is to apply molecular-based…

cs.NI2014★ 8 cited

Downlink Interference Estimation without Feedback for Heterogeneous Network Interference Avoidance

Siyi Wang, Weisi Guo, Mark D. McDonnell

In this paper, we present a novel method for a base station (BS) to estimate the total downlink interference power received by any given mobile receiver, without information feedba…