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05/11/2023
Enhancing Datalog Reasoning with Hypertree Decompositions
Datalog reasoning based on the seminaïve evaluation strategy evaluates r...
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04/11/2023
Accelerating Globally Optimal Consensus Maximization in Geometric Vision
Branch-and-bound-based consensus maximization stands out due to its impo...
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11/03/2022
Data-based Polymer-Unit Fingerprint (PUFp): A Newly Accessible Expression of Polymer Organic Semiconductors for Machine Learning
In the process of finding high-performance organic semiconductors (OSCs)...
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07/15/2022
CheXplaining in Style: Counterfactual Explanations for Chest X-rays using StyleGAN
Deep learning models used in medical image analysis are prone to raising...
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12/12/2021
Two New Stenosis Detection Methods of Coronary Angiograms
Coronary angiography is the "gold standard" for diagnosing coronary arte...
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11/07/2021
Superconvergence of the Direct Discontinuous Galerkin Method for Two-Dimensional Nonlinear Convection-Diffusion Equations
This paper is concerned with superconvergence properties of the direct d...
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10/06/2021
Boosting RANSAC via Dual Principal Component Pursuit
In this paper, we revisit the problem of local optimization in RANSAC. O...
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08/17/2021
ANOMALYMAXQ:Anomaly-Structured Maximization to Query in Attributed Network
The detection of anomaly subgraphs naturally appears in various real-lif...
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08/03/2021
Two New Stenoses Detection Methods of Coronary Angiograms
Coronary angiography is the "gold standard" for the diagnosis of coronar...
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12/07/2020
Diverse Melody Generation from Chinese Lyrics via Mutual Information Maximization
In this paper, we propose to adapt the method of mutual information maxi...
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10/31/2020
Evaluation of Inference Attack Models for Deep Learning on Medical Data
Deep learning has attracted broad interest in healthcare and medical com...
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09/13/2020
Revealing Secrets in SPARQL Session Level
Based on Semantic Web technologies, knowledge graphs help users to disco...
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01/14/2020
Differentially Private and Fair Classification via Calibrated Functional Mechanism
Machine learning is increasingly becoming a powerful tool to make decisi...
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10/17/2019
From Dark Matter to Galaxies with Convolutional Neural Networks
Cosmological simulations play an important role in the interpretation of...
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04/21/2019
A Parallel Bitstream Generator for Stochastic Computing
Stochastic computing (SC) presents high error tolerance and low hardware...
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02/15/2019
From Dark Matter to Galaxies with Convolutional Networks
Cosmological surveys aim at answering fundamental questions about our Un...
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03/09/2018
Image Registration Based Flicker Solving in Video Face Replacement and Analysis Based Sub-pixel Image Registration
In this paper, a framework of video face replacement is proposed and it ...
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05/05/2017