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09/19/2023
A Dynamic Linear Bias Incorporation Scheme for Nonnegative Latent Factor Analysis
High-Dimensional and Incomplete (HDI) data is commonly encountered in bi...
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07/22/2023
On the Effectiveness of Spectral Discriminators for Perceptual Quality Improvement
Several recent studies advocate the use of spectral discriminators, whic...
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06/19/2023
An Error Correction Mid-term Electricity Load Forecasting Model Based on Seasonal Decomposition
Mid-term electricity load forecasting (LF) plays a critical role in powe...
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06/06/2023
Multi-constrained Symmetric Nonnegative Latent Factor Analysis for Accurately Representing Large-scale Undirected Weighted Networks
An Undirected Weighted Network (UWN) is frequently encountered in a big-...
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06/06/2023
Proximal Symmetric Non-negative Latent Factor Analysis: A Novel Approach to Highly-Accurate Representation of Undirected Weighted Networks
An Undirected Weighted Network (UWN) is commonly found in big data-relat...
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05/31/2023
Physics-Informed Ensemble Representation for Light-Field Image Super-Resolution
Recent learning-based approaches have achieved significant progress in l...
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04/19/2023
Rank-Based Learning and Local Model Based Evolutionary Algorithm for High-Dimensional Expensive Multi-Objective Problems
Surrogate-assisted evolutionary algorithms have been widely developed to...
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02/25/2023
Online Sparse Streaming Feature Selection Using Adapted Classification
Traditional feature selections need to know the feature space before lea...
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02/23/2023
A Constraints Fusion-induced Symmetric Nonnegative Matrix Factorization Approach for Community Detection
Community is a fundamental and critical characteristic of an undirected ...
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12/22/2022
Multi-queue Momentum Contrast for Microvideo-Product Retrieval
The booming development and huge market of micro-videos bring new e-comm...
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12/20/2022
Multi-Metric AutoRec for High Dimensional and Sparse User Behavior Data Prediction
User behavior data produced during interaction with massive items in the...
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12/15/2022
Surrogate-assisted level-based learning evolutionary search for heat extraction optimization of enhanced geothermal system
An enhanced geothermal system is essential to provide sustainable and lo...
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11/27/2022
A Knowledge-based Learning Framework for Self-supervised Pre-training Towards Enhanced Recognition of Medical Images
Self-supervised pre-training has become the priory choice to establish r...
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10/27/2022
Prototype-Based Layered Federated Cross-Modal Hashing
Recently, deep cross-modal hashing has gained increasing attention. Howe...
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08/01/2022
A New Calibration Method for Industrial Robot Based on Step-Size Levenberg-Marquardt Algorithm
Industrial robots play a vital role in automatic production, which have ...
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06/07/2022
Data-driven evolutionary algorithm for oil reservoir well-placement and control optimization
Optimal well placement and well injection-production are crucial for the...
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04/16/2022
A Multi-Metric Latent Factor Model for Analyzing High-Dimensional and Sparse data
High-dimensional and sparse (HiDS) matrices are omnipresent in a variety...
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04/16/2022
Graph-incorporated Latent Factor Analysis for High-dimensional and Sparse Matrices
A High-dimensional and sparse (HiDS) matrix is frequently encountered in...
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04/13/2022
A Novel Quadratic Interpolated Beetle Antennae Search for Manipulator Calibration
Over the past decades, industrial manipulators play a vital role in in v...
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04/13/2022
An Advancing Ensemble with Diversified Algorithms for Robot Arm Calibration
Recently, industrial robots plays a significant role in intelligent manu...
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04/13/2022
A New Robot Arm Calibration Method Based on Cubic Interpolated Beetle Antennae Search Approach
Industrial robot arms are extensively important for intelligent manufact...
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04/12/2022
Three-Stream Joint Network for Zero-Shot Sketch-Based Image Retrieval
The Zero-Shot Sketch-based Image Retrieval (ZS-SBIR) is a challenging ta...
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04/11/2022
An Adaptive Alternating-direction-method-based Nonnegative Latent Factor Model
An alternating-direction-method-based nonnegative latent factor model ca...
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04/02/2022
A Differential Evolution-Enhanced Latent Factor Analysis Model for High-dimensional and Sparse Data
High-dimensional and sparse (HiDS) matrices are frequently adopted to de...
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03/24/2022
ViT-FOD: A Vision Transformer based Fine-grained Object Discriminator
Recently, several Vision Transformer (ViT) based methods have been propo...
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03/08/2022
High-order Order Proximity-Incorporated, Symmetry and Graph-Regularized Nonnegative Matrix Factorization for Community Detection
Community describes the functional mechanism of a network, making commun...
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03/04/2022
Second-order Symmetric Non-negative Latent Factor Analysis
Precise representation of large-scale undirected network is the basis fo...
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10/18/2021
Asymmetric Modality Translation For Face Presentation Attack Detection
Face presentation attack detection (PAD) is an essential measure to prot...
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09/09/2021
Online Enhanced Semantic Hashing: Towards Effective and Efficient Retrieval for Streaming Multi-Modal Data
With the vigorous development of multimedia equipment and applications, ...
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06/23/2021
Exploiting Negative Learning for Implicit Pseudo Label Rectification in Source-Free Domain Adaptive Semantic Segmentation
It is desirable to transfer the knowledge stored in a well-trained sourc...
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09/16/2020
Weakly-Supervised Online Hashing
With the rapid development of social websites, recent years have witness...
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02/25/2020
Dual Graph Representation Learning
Graph representation learning embeds nodes in large graphs as low-dimens...
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11/09/2018
Global sensitivity analysis based on DIRECT-KG-HDMR and thermal optimization of pin-fin heat sink for the platform inertial navigation system
In this study, in order to reduce the local high temperature of the plat...
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11/09/2018
Design of pin-fin heat sink for the platform inertial navigation system by surrogate assisted techniques
In this study, in order to reduce the local high temperature of the plat...
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09/20/2018
ConvPath: A Software Tool for Lung Adenocarcinoma Digital Pathological Image Analysis Aided by Convolutional Neural Network
The spatial distributions of different types of cells could reveal a can...
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07/05/2018
A multiple-try Metropolis-Hastings algorithm with tailored proposals
We present a new multiple-try Metropolis-Hastings algorithm designed to ...
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07/05/2018
A Bayesian model for lithology/fluid class prediction using a Markov mesh prior fitted from a training image
We consider a Bayesian model for inversion of observed amplitude variati...
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07/26/2017