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05/10/2023
P4SGD: Programmable Switch Enhanced Model-Parallel Training on Generalized Linear Models on Distributed FPGAs
Generalized linear models (GLMs) are a widely utilized family of machine...
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01/02/2023
Credible Remote Sensing Scene Classification Using Evidential Fusion on Aerial-Ground Dual-view Images
Due to their ability to offer more comprehensive information than data f...
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12/11/2022
DOSnet as a Non-Black-Box PDE Solver: When Deep Learning Meets Operator Splitting
Deep neural networks (DNNs) recently emerged as a promising tool for ana...
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11/27/2022
Rethinking Data Augmentation for Single-source Domain Generalization in Medical Image Segmentation
Single-source domain generalization (SDG) in medical image segmentation ...
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10/07/2022
GOLLIC: Learning Global Context beyond Patches for Lossless High-Resolution Image Compression
Neural-network-based approaches recently emerged in the field of data co...
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02/19/2022
An Oracle Gradient Regularized Newton Method for Quadratic Measurements Regression
Recently, recovering an unknown signal from quadratic measurements has g...
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11/01/2021
PointNu-Net: Simultaneous Multi-tissue Histology Nuclei Segmentation and Classification in the Clinical Wild
Automatic nuclei segmentation and classification plays a vital role in d...
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07/23/2021
AD-GAN: End-to-end Unsupervised Nuclei Segmentation with Aligned Disentangling Training
We consider unsupervised cell nuclei segmentation in this paper. Exploit...
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05/06/2021
Ordinal UNLOC: Target Localization with Noisy and Incomplete Distance Measures
A main challenge in target localization arises from the lack of reliable...
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03/24/2021
RPVNet: A Deep and Efficient Range-Point-Voxel Fusion Network for LiDAR Point Cloud Segmentation
Point clouds can be represented in many forms (views), typically, point-...
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03/05/2021
Ground-SLAM: Ground Constrained LiDAR SLAM for Structured Multi-Floor Environments
This paper proposes a 3D LiDAR SLAM algorithm named Ground-SLAM, which e...
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10/02/2020
A variable metric mini-batch proximal stochastic recursive gradient algorithm with diagonal Barzilai-Borwein stepsize
Variable metric proximal gradient methods with different metric selectio...
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06/03/2020
RODE-Net: Learning Ordinary Differential Equations with Randomness from Data
Random ordinary differential equations (RODEs), i.e. ODEs with random pa...
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06/01/2020
Data-Driven Learning of Boolean Networks and Functions by Optimal Causation Entropy Principle (BoCSE)
Boolean functions and networks are commonly used in the modeling and ana...
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02/06/2020
Inference of Polygenic Factors Associated with Breast Cancer Gene Interaction Networks from Discrete Data Utilizing Poisson Multivariate Mutual Information
In this work we introduce a new methodology to infer from gene expressio...
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05/16/2019
How Entropic Regression Beats the Outliers Problem in Nonlinear System Identification
System identification (SID) is central in science and engineering applic...
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02/20/2019
A Novel Euler's Elastica based Segmentation Approach for Noisy Images via using the Progressive Hedging Algorithm
Euler's Elastica based unsupervised segmentation models have strong capa...
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11/27/2018
Node Diversification in Complex Networks by Decentralized Coloring
We develop a decentralized coloring approach to diversify the nodes in a...
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11/25/2018
Quantum Differential Cryptanalysis
In this paper, we propose a quantum version of the differential cryptana...
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02/04/2018
Anatomy of Leadership in Collective Behaviour
Understanding the mechanics behind the coordinated movement of mobile an...
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02/04/2018
The Anatomy of Leadership in Collective Behaviour
Understanding the mechanics behind the coordinated movement of mobile an...
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12/19/2017
Y-net: 3D intracranial artery segmentation using a convolutional autoencoder
Automated segmentation of intracranial arteries on magnetic resonance an...
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11/02/2017
Geometric k-nearest neighbor estimation of entropy and mutual information
Like most nonparametric estimators of information functionals involving ...
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11/04/2016