Search Results - "Manton, Jonathan H."

Persistence of skin-resident memory T cells within an epidermal niche by Zaid, Ali, Mackay, Laura K., Rahimpour, Azad, Braun, Asolina, Veldhoen, Marc, Carbone, Francis R., Manton, Jonathan H., Heath, William R., Mueller, Scott N.

“…Barrier tissues such as the skin contain various populations of immune cells that contribute to protection from infections. These include recently identified…”
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Liver-Resident Memory CD8+ T Cells Form a Front-Line Defense against Malaria Liver-Stage Infection by Fernandez-Ruiz, Daniel, Ng, Wei Yi, Holz, Lauren E., Ma, Joel Z., Zaid, Ali, Wong, Yik Chun, Lau, Lei Shong, Mollard, Vanessa, Cozijnsen, Anton, Collins, Nicholas, Li, Jessica, Davey, Gayle M., Kato, Yu, Devi, Sapna, Skandari, Roghieh, Pauley, Michael, Manton, Jonathan H., Godfrey, Dale I., Braun, Asolina, Tay, Szun Szun, Tan, Peck Szee, Bowen, David G., Koch-Nolte, Friedrich, Rissiek, Björn, Carbone, Francis R., Crabb, Brendan S., Lahoud, Mireille, Cockburn, Ian A., Mueller, Scott N., Bertolino, Patrick, McFadden, Geoffrey I., Caminschi, Irina, Heath, William R.

“…In recent years, various intervention strategies have reduced malaria morbidity and mortality, but further improvements probably depend upon development of a…”
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Ancient jades map 3,000 years of prehistoric exchange in Southeast Asia by Hung, Hsiao-Chun, Iizuka, Yoshiyuki, Bellwood, Peter, Nguyen, Kim Dung, Bellina, Bérénice, Silapanth, Praon, Dizon, Eusebio, Santiago, Rey, Datan, Ipoi, Manton, Jonathan H

“…We have used electron probe microanalysis to examine Southeast Asian nephrite (jade) artifacts, many archeologically excavated, dating from 3000 B.C. through…”
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Capacity of a single spiking neuron channel by Ikeda, Shiro, Manton, Jonathan H

“…Information transfer through a single neuron is a fundamental component of information processing in the brain, and computing the information channel capacity…”
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ManifoldNet: A Deep Neural Network for Manifold-Valued Data With Applications by Chakraborty, Rudrasis, Bouza, Jose, Manton, Jonathan H., Vemuri, Baba C.

“…Geometric deep learning is a relatively nascent field that has attracted significant attention in the past few years. This is partly due to the availability of…”
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Riemannian Gaussian Distributions on the Space of Symmetric Positive Definite Matrices by Said, Salem, Bombrun, Lionel, Berthoumieu, Yannick, Manton, Jonathan H.

“…Data, which lie in the space P m , of m × m symmetric positive definite matrices, (sometimes called tensor data), play a fundamental role in applications,…”
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Computational complexity comparison of feedforward/radial basis function/recurrent neural network-based equalizer for a 50-Gb/s PAM4 direct-detection optical link by Xu, Zhaopeng, Sun, Chuanbowen, Ji, Tonghui, Manton, Jonathan H, Shieh, William

“…The computational complexity and system bit-error-rate (BER) performance of four types of neural-network-based nonlinear equalizers are analyzed for a 50-Gb/s…”
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An introductory review of information theory in the context of computational neuroscience by McDonnell, Mark D., Ikeda, Shiro, Manton, Jonathan H.

“…This article introduces several fundamental concepts in information theory from the perspective of their origins in engineering. Understanding such concepts is…”
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Feedforward and Recurrent Neural Network-Based Transfer Learning for Nonlinear Equalization in Short-Reach Optical Links by Xu, Zhaopeng, Sun, Chuanbowen, Ji, Tonghui, Manton, Jonathan H., Shieh, William

“…Neural network (NN)-based nonlinear equalizers have been shown effective for various types of short-reach direct detection systems. However, they work best for…”
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Low-Complexity Multi-Task Learning Aided Neural Networks for Equalization in Short-Reach Optical Interconnects by Xu, Zhaopeng, Dong, Shuangyu, Manton, Jonathan H., Shieh, William

“…With the rapid development of machine learning technologies in recent years, different types of neural network (NN)-based equalizers have been proposed and…”
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On OAMP: Impact of the Orthogonal Principle by Liu, Lei, Cheng, Yiyao, Liang, Shansuo, Manton, Jonathan H., Ping, Li

“…Approximate Message Passing (AMP) is an efficient iterative parameter-estimation technique for certain high-dimensional linear systems with non-Gaussian…”
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Non-Parametric Decompounding of Pulse Pile-Up Under Gaussian Noise With Finite Data Sets by Mclean, Christopher, Pauley, Michael, Manton, Jonathan H.

“…A novel estimator is proposed for estimating the energy distribution of photons incident upon a detector in X-ray spectroscopic systems. It is specifically…”
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Orthogonal AMP for Problems With Multiple Measurement Vectors and/or Multiple Transforms by Cheng, Yiyao, Liu, Lei, Liang, Shansuo, Manton, Jonathan H., Ping, Li

“…Approximate message passing (AMP) algorithms break a (high-dimensional) statistical problem into manageable parts and then repeatedly solve each part in turn,…”
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Joint Equalization of Linear and Nonlinear Impairments for PAM4 Short-Reach Direct Detection Systems by Xu, Zhaopeng, Sun, Chuanbowen, Manton, Jonathan H., Shieh, William

“…Various neural network (NN)-based equalizers have been proposed as effective digital signal processing (DSP) tools for short-reach optical direct detection…”
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Stochastic Consensus Seeking With Noisy and Directed Inter-Agent Communication: Fixed and Randomly Varying Topologies by Minyi Huang, Manton, J.H.

“…We consider consensus seeking of networked agents on directed graphs where each agent has only noisy measurements of its neighbors' states. Stochastic…”
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The Existence Question for Maximum-Likelihood Estimators in Time-of-Arrival-Based Localization by Pauley, Michael, Manton, Jonathan H.

“…We investigate the existence question for maximum-likelihood estimation for a time-of-arrival-based localization problem where the signal transmission time is…”
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A numerical filtering method for linear state‐space models with Markov switching by Pauley, Michael, Mclean, Christopher, Manton, Jonathan H.

“…Summary A class of discrete‐time random processes arising in engineering and econometrics applications consists of a linear state‐space model whose parameters…”
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Stochastic consensus over noisy networks with Markovian and arbitrary switches by Huang, Minyi, Dey, Subhrakanti, Nair, Girish N., Manton, Jonathan H.

“…This paper considers stochastic consensus problems over lossy wireless networks. We first propose a measurement model with a random link gain, additive noise,…”
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Fast Kernel Smoothing by a Low-Rank Approximation of the Kernel Toeplitz Matrix by Deng, Guang, Manton, Jonathan H., Wang, Song

“…Kernel smoothing methods, including the bilateral filter, are commonly used in data processing/modeling and edge-aware image smoothing. Due to their nonlinear…”
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Automatic Segmentation of Scaling in 2-D Psoriasis Skin Images by Lu, J., Kazmierczak, E., Manton, J. H., Sinclair, R.

“…Psoriasis is a chronic inflammatory skin disease that affects over 3% of the population. Various methods are currently used to evaluate psoriasis severity and…”
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