
Adaptive Graphbased Generalized Regression Model for Unsupervised Feature Selection
Unsupervised feature selection is an important method to reduce dimensio...
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UniViLM: A Unified Video and Language PreTraining Model for Multimodal Understanding and Generation
We propose UniViLM: a Unified Video and Language pretraining Model for ...
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Robust DCDBased Recursive Adaptive Algorithms
The dichotomous coordinate descent (DCD) algorithm has been successfully...
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Adversarial Multimodal Network for Movie Question Answering
Visual question answering by using information from multiple modalities ...
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CrossDomain Collaborative Learning via Cluster Canonical Correlation Analysis and Random Walker for Hyperspectral Image Classification
This paper introduces a novel heterogenous domain adaptation (HDA) metho...
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Forward and Backward Knowledge Transfer for Sentiment Classification
This paper studies the problem of learning a sequence of sentiment class...
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Video2Shop: Exactly Matching Clothes in Videos to Online Shopping Images
In recent years, both online retail and video hosting service are expone...
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Spectral Perturbation Meets Incomplete Multiview Data
Beyond existing multiview clustering, this paper studies a more realist...
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Improving the Learning of Multicolumn Convolutional Neural Network for Crowd Counting
Tremendous variation in the scale of people/head size is a critical prob...
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Reconstruction of Hidden Representation for Robust Feature Extraction
This paper aims to develop a new and robust approach to feature represen...
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Hybrid evolutionary algorithm with extreme machine learning fitness function evaluation for twostage capacitated facility location problem
This paper considers the twostage capacitated facility location problem...
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Neural Person Search Machines
We investigate the problem of person search in the wild in this work. In...
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Predicting Citywide Crowd Flows Using Deep SpatioTemporal Residual Networks
Forecasting the flow of crowds is of great importance to traffic managem...
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Multiple VLAD encoding of CNNs for image classification
Despite the effectiveness of convolutional neural networks (CNNs) especi...
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Robustness of Maximum Correntropy Estimation Against Large Outliers
The maximum correntropy criterion (MCC) has recently been successfully a...
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Parallel LargeScale Attribute Reduction on Cloud Systems
The rapid growth of emerging information technologies and application pa...
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Kernel RiskSensitive Loss: Definition, Properties and Application to Robust Adaptive Filtering
Nonlinear similarity measures defined in kernel space, such as correntro...
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Diversified Visual Attention Networks for FineGrained Object Classification
Finegrained object classification is a challenging task due to the subt...
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Early Fire Detection Using HEP and Spacetime Analysis
In this article, a video base early fire alarm system is developed by mo...
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CSIFT Based Localityconstrained Linear Coding for Image Classification
In the past decade, SIFT descriptor has been witnessed as one of the mos...
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On the Placement Delivery Array Design for Coded Caching Scheme in D2D Networks
The coded caching scheme is an efficient technique as a solution to redu...
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Beam Management for Millimeter Wave Beamspace MUMIMO Systems
Millimeter wave (mmWave) communication has attracted increasing attentio...
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Random Euler ComplexValued Nonlinear Filters
Over the last decade, both the neural network and kernel adaptive filter...
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Ensemble Reversible Data Hiding
The conventional reversible data hiding (RDH) algorithms often consider ...
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IEEE 802.11ay based mmWave WLANs: Design Challenges and Solutions
Millimeterwave (mmWave) with large spectrum available is considered as ...
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SMDPbased Downlink Packet Scheduling Scheme for Solar Energy Assisted Heterogeneous Networks
Renewable energy assisted heterogeneous networks can improve system capa...
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Feedback Coding Schemes for the Broadcast Channel with Mutual Secrecy Requirement
Recently, the physical layer security (PLS) of the communication systems...
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A Novel Reversible Data Hiding Employing All Quantized Nonzero AC Coefficients in JPEG Images
This paper revisits the reversible data hiding scheme, of Liu et al. in ...
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Impact of Nonorthogonal Multiple Access on the Offloading of Mobile Edge Computing
This paper considers the coexistence of two important communication tech...
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Improving Aspect Term Extraction with Bidirectional Dependency Tree Representation
Aspect term extraction is one of the important subtasks in aspectbased ...
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An Improved Reversible Data Hiding Scheme by Changing Modification Direction of Partial Coefficients in JPEG Images
This paper first reviews the reversible data hiding scheme, of Liu et al...
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On the Performance of NOMA with Hybrid ARQ
In this paper, we investigate the outage performance of hybrid automatic...
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A Sharp Condition for Exact Support Recovery of Sparse Signals With Orthogonal Matching Pursuit
Support recovery of sparse signals from noisy measurements with orthogon...
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Linear Coded Caching Scheme for Centralized Networks
Coded caching systems have been widely studied to reduce the data transm...
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Deep Prediction Interval for Weather Forecasting
Currently there exists a gap between deep learning and the techniques re...
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Deep Uncertainty Learning: A Machine Learning Approach for Weather Forecasting
This paper uses the weather forecasting as an application background to ...
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On Optimal Locally Repairable Codes with SuperLinear Length
Locally repairable codes which are optimal with respect to the bound pre...
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A Fundamental StorageCommunication Tradeoff in Distributed Computing with Straggling Nodes
The optimal storagecomputation tradeoff is characterized for a MapReduc...
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A Systematic Construction of MDS Codes with Small Subpacketization Level and Near Optimal Repair Bandwidth
In the literature, all the known highrate MDS codes with the optimal re...
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On an open problem about a class of optimal ternary cyclic codes
Cyclic codes are a subclass of linear codes and have applications in con...
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An ActorCritic Reinforcement Learning Method for Computation Offloading with Delay Constraints in Mobile Edge Computing
In this paper, we consider a mobile edge computing system that provides ...
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A Dual Symmetric GaussSeidel Alternating Direction Method of Multipliers for Hyperspectral Sparse Unmixing
Since sparse unmixing has emerged as a promising approach to hyperspectr...
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A new CapacityAchieving Private Information Retrieval Scheme with (Almost) Optimal File Length for Coded Servers
In a distributed storage system, private information retrieval (PIR) gua...
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Channel Estimation for Orthogonal Time Frequency Space (OTFS) Massive MIMO
Orthogonal time frequency space (OTFS) modulation outperforms orthogonal...
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Efficient Discrete Supervised Hashing for Largescale Crossmodal Retrieval
Supervised crossmodal hashing has gained increasing research interest o...
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Point Clouds Learning with Attentionbased Graph Convolution Networks
Point clouds data, as one kind of representation of 3D objects, are the ...
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When Full Duplex Wireless Meets NonOrthogonal Multiple Access: Opportunities and Challenges
Nonorthogonal multiple access (NOMA) is a promising radio access techno...
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DOER: Dual CrossShared RNN for Aspect TermPolarity CoExtraction
This paper focuses on two related subtasks of aspectbased sentiment ana...
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A parametric Bayesian level set approach for acoustic source identification using multiple frequency information
The reconstruction of the unknown acoustic source is studied using the n...
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An ensemble Kalman filter approach based on level set parameterization for acoustic source identification using multiple frequency information
The spatial dependent unknown acoustic source is reconstructed according...
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Southwest Jiaotong University
Southwest Jiaotong University is located in national central city Chengdu, Sichuan Province, affiliated to the Ministry of Education of the People's Republic of China.