
Dictionary Learning with Convex Update (ROMD)
Dictionary learning aims to find a dictionary under which the training d...
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DADRN: DegradationAware Deep Retinex Network for LowLight Image Enhancement
Images obtained in realworld lowlight conditions are not only low in b...
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BLNet: A Fast Deep Learning Framework for LowLight Image Enhancement with Noise Removal and Color Restoration
Images obtained in realworld lowlight conditions are not only low in b...
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FastAdaBelief: Improving Convergence Rate for Beliefbased Adaptive Optimizer by Strong Convexity
The AdaBelief algorithm demonstrates superior generalization ability to ...
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Unpacking the Drop in COVID19 Case Fatality Rates: A Study of National and Florida LineLevel Data
Since the COVID19 pandemic first reached the United States, the case fa...
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Distributed algorithms to determine eigenvectors of matrices on spatially distributed networks
Eigenvectors of matrices on a network have been used for understanding s...
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A simulationbased evaluation of a CargoHitching service for Ecommerce using mobilityondemand vehicles
Timesensitive parcel deliveries, shipments requested for delivery in a ...
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PixelFace: A LargeScale, HighResolution Benchmark for 3D Face Reconstruction
3D face reconstruction is a fundamental task that can facilitate numerou...
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Preconditioned Gradient Descent Algorithm for Inverse Filtering on Spatially Distributed Networks
Graph filters and their inverses have been widely used in denoising, smo...
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A micromechanicsinformed phase field model for brittle fracture accounting for the unilateral constraint
We propose a new directiondependent model for the unilateral constraint...
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Stable Phase Retrieval from Locally Stable and Conditionally Connected Measurements
This paper is concerned with stable phase retrieval for a family of phas...
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Predicting Mortality Risk in Viral and Unspecified Pneumonia to Assist Clinicians with COVID19 ECMO Planning
Respiratory complications due to coronavirus disease COVID19 have claim...
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Polynomial graph filter of multiple shifts and distributed implementation of inverse filtering
Polynomial graph filters and their inverses play important roles in grap...
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Ensemble emotion recognizing with multiple modal physiological signals
Physiological signals that provide the objective repression of human aff...
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Knowledge Distillation in Document Retrieval
Complex deep learning models now achieve state of the art performance fo...
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Combining Machine Learning Models using combo Library
Model combination, often regarded as a key subfield of ensemble learnin...
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Phase retrieval of complex and vectorvalued functions
The phase retrieval problem in the classical setting is to reconstruct r...
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A Novel GANbased Fault Diagnosis Approach for Imbalanced Industrial Time Series
This paper proposes a novel fault diagnosis approach based on generative...
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Online Bearing Remaining Useful Life Prediction Based on a Novel Degradation Indicator and Convolutional Neural Networks
In industrial applications, nearly half the failures of motors are cause...
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Stable Phaseless Sampling and Reconstruction of RealValued Signals with Finite Rate of Innovations
A spatial signal is defined by its evaluations on the whole domain. In t...
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Measuring Territorial Control in Civil Wars Using Hidden Markov Models: A Data InformaticsBased Approach
Territorial control is a key aspect shaping the dynamics of civil war. D...
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Cheng Cheng
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