Large Dimensional Latent Factor Modeling with Missing Observations and Applications to Causal Inference. (arXiv:1910.08273v3 [econ.EM] UPDATED)

This paper develops the inferential theory for latent factor models estimated from large dimensional panel data with missing observations. We estimate a latent factor model by applying principal component analysis to an adjusted covariance matrix estimated from partially observed panel data. We derive the asymptotic distribution for the estimated factors, loadings and the imputed values…

AssemblyNet: A large ensemble of CNNs for 3D Whole Brain MRI Segmentation. (arXiv:1911.09098v1 [eess.IV])

Whole brain segmentation using deep learning (DL) is a very challenging task since the number of anatomical labels is very high compared to the number of available training images. To address this problem, previous DL methods proposed to use a single convolution neural network (CNN) or few independent CNNs. In this paper, we present a…

Reversible Computation in Wireless Communications. (arXiv:1911.09104v1 [cs.ET])

This chapter presents the pioneering work in applying reversible computation paradigms to wireless communications. These applications range from developing reversible hardware architectures for underwater acoustic communications to novel distributed optimisation procedures in large radio-frequency antenna arrays based on reversing Petri nets. Throughout the chapter, we discuss the rationale for introducing reversible computation in the domain…

ID-aware Quality for Set-based Person Re-identification. (arXiv:1911.09143v1 [cs.CV])

Set-based person re-identification (SReID) is a matching problem that aims to verify whether two sets are of the same identity (ID). Existing SReID models typically generate a feature representation per image and aggregate them to represent the set as a single embedding. However, they can easily be perturbed by noises–perceptually/semantically low quality images–which are inevitable…

Deadlock Analysis and Resolution in Multi-Robot Systems: The Two Robot Case. (arXiv:1911.09146v1 [cs.RO])

Collision avoidance for multirobot systems is a well studied problem. Recently, control barrier functions (CBFs) have been proposed for synthesizing decentralized controllers that guarantee collision avoidance (safety) and goal stabilization (performance) for multiple robots. However, it has been noted in several works that reactive control synthesis methods (such as CBFs) are prone to deadlock, an…

Mutating Epidemic Processes Over Time-Varying Networks in Discrete-Time. (arXiv:1911.09175v1 [eess.SY])

This paper studies epidemic processes over discrete-time periodic time-varying networks. Our objective is to find necessary and sufficient conditions for asymptotic convergence to the disease-free equilibrium (DFE). We provide, in terms of the joint spectral radius of a set of matrices, a sufficient condition for global asymptotic stability (GAS) of the DFE. Subsequently, we provide,…

RIS-GAN: Explore Residual and Illumination with Generative Adversarial Networks for Shadow Removal. (arXiv:1911.09178v1 [eess.IV])

Residual images and illumination estimation have been proved very helpful in image enhancement. In this paper, we propose a general and novel framework RIS-GAN which explores residual and illumination with Generative Adversarial Networks for shadow removal. Combined with the coarse shadow-removal image, the estimated negative residual images and inverse illumination maps can be used to…

A Direct- Conversion Digital Beamforming Array Receiver with 800 MHz Channel Bandwidth at 28 GHz using Xilinx RF SoC. (arXiv:1911.09180v1 [eess.SP])

This paper discusses early results associated with a fully-digital direct-conversion array receiver at 28~GHz. The proposed receiver makes use of commercial off-the-shelf (COTS) electronics, including the receiver chain. The design consists of a custom 28~GHz patch antenna sub-array providing gain in the elevation plane, with azimuthal plane beamforming provided by real-time digital signal processing (DSP)…