
Applications of BERT Based Sequence Tagging Models on Chinese Medical Text Attributes Extraction
We convert the Chinese medical text attributes extraction task into a se...
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Faces à la Carte: TexttoFace Generation via Attribute Disentanglement
TexttoFace (TTF) synthesis is a challenging task with great potential ...
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Phase retrieval of complexvalued objects via a randomized Kaczmarz method
This paper investigates the convergence of the randomized Kaczmarz algor...
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Memory Augmented Generative Adversarial Networks for Anomaly Detection
In this paper, we present a memoryaugmented algorithm for anomaly detec...
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To What Extent Does Downsampling, Compression, and Data Scarcity Impact Renal Image Analysis?
The condition of the Glomeruli, or filter sacks, in renal Direct Immunof...
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An Algorithm for GraphFused Lasso Based on Graph Decomposition
This work proposes a new algorithm for solving the graphfused lasso (GF...
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Deep inspection: an electrical distribution pole parts study via deep neural networks
Electrical distribution poles are important assets in electricity supply...
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Deep InstanceLevel Hard Negative Mining Model for Histopathology Images
Histopathology image analysis can be considered as a Multiple instance l...
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CORAL8: Concurrent Object Regression for Area Localization in Medical Image Panels
This work tackles the problem of generating a medical report for multii...
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Elementwise estimation error of a total variation regularized estimator for change point detection
This work studies the total variation regularized ℓ_2 estimator (fused l...
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Phase Retrieval by Alternating Minimization with Random Initialization
We consider a phase retrieval problem, where the goal is to reconstruct ...
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Parallax Bundle Adjustment on Manifold with Convexified Initialization
Bundle adjustment (BA) with parallax angle based feature parameterizatio...
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Adaptive Signal Inclusion With Genomic Applications
This paper addresses the challenge of efficiently capturing a high propo...
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eQTL Mapping via Effective SNP Ranking and Screening
Genomewide eQTL mapping explores the relationship between gene expressi...
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SlideNet: Fast and Accurate Slide Quality Assessment Based on Deep Neural Networks
This work tackles the automatic finegrained slide quality assessment pr...
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CoVeR: Learning CovariateSpecific Vector Representations with Tensor Decompositions
Word embedding is a useful approach to capture cooccurrence structures ...
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TVGAN: Generative Adversarial Network Based Thermal to Visible Face Recognition
This work tackles the face recognition task on images captured using the...
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Exact Camera Location Recovery by Least Unsquared Deviations
We establish exact recovery for the Least Unsquared Deviations (LUD) alg...
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Stochastic PrimalDual Proximal ExtraGradient Descent for Compositely Regularized Optimization
We consider a wide range of regularized stochastic minimization problems...
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The discrete moment problem with nonconvex shape constraints
The discrete moment problem is a foundational problem in distributionfr...
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Robust PCA by Manifold Optimization
Robust PCA is a widely used statistical procedure to recover a underlyin...
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The Monkeytyping Solution to the YouTube8M Video Understanding Challenge
This article describes the final solution of team monkeytyping, who fini...
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A WellTempered Landscape for Nonconvex Robust Subspace Recovery
We present a mathematical analysis of a nonconvex energy landscape for ...
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Spectral clustering in the dynamic stochastic block model
In the present paper, we studied a Dynamic Stochastic Block Model (DSBM)...
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Denoising and Covariance Estimation of Single Particle CryoEM Images
The problem of image restoration in cryoEM entails correcting for the e...
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Orthogonal Matrix Retrieval in CryoElectron Microscopy
In single particle reconstruction (SPR) from cryoelectron microscopy (c...
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Spectral Clustering Based on Local PCA
We propose a spectral clustering method based on local principal compone...
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Robust computation of linear models by convex relaxation
Consider a dataset of vectorvalued observations that consists of noisy ...
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A Novel MEstimator for Robust PCA
We study the basic problem of robust subspace recovery. That is, we assu...
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Robust recovery of multiple subspaces by geometric l_p minimization
We assume i.i.d. data sampled from a mixture distribution with K compone...
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lpRecovery of the Most Significant Subspace among Multiple Subspaces with Outliers
We assume data sampled from a mixture of ddimensional linear subspaces ...
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Hybrid Linear Modeling via Local Bestfit Flats
We present a simple and fast geometric method for modeling data by a uni...
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Randomized hybrid linear modeling by local bestfit flats
The hybrid linear modeling problem is to identify a set of ddimensional...
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Probabilistic Recovery of Multiple Subspaces in Point Clouds by Geometric lp Minimization
We assume data independently sampled from a mixture distribution on the ...
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Median Kflats for hybrid linear modeling with many outliers
We describe the Median KFlats (MKF) algorithm, a simple online method f...
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