Search Results for author: IEEE

Found 50 papers, 8 papers with code

High-order Correlation Preserved Incomplete Multi-view Subspace Clustering

3 code implementations IEEE Transactions on Image Processing 2022 Zhenglai Li, Chang Tang, Xiao Zheng, Xinwang Liu, Senior Member, Wei zhang, Member, IEEE, and En Zhu

Specifically, multiple affinity matrices constructed from the incomplete multi-view data are treated as a thirdorder low rank tensor with a tensor factorization regularization which preserves the high-order view correlation and sample correlation.

Incomplete multi-view clustering Multi-view Subspace Clustering +1

A GAN-Based Short-Term Link Traffic Prediction Approach for Urban Road Networks Under a Parallel Learning Framework

no code implementations IEEE Transactions on Intelligent Transportation Systems 2022 Junchen Jin, Member, IEEE, Dingding Rong, Tong Zhang, Qingyuan Ji, Haifeng Guo, Yisheng Lv, Xiaoliang Ma, and Fei-Yue Wang

This paper proposes a short-term traffic speed prediction approach, called PL-WGAN, for urban road networks, which is considered an important part of a novel parallel learning framework for traffic control and operation.

Traffic Prediction

Shallow Network Based on Depthwise Over-Parameterized Convolution for Hyperspectral Image Classification

no code implementations1 Dec 2021 Hongmin Gao, Member, Zhonghao Chen, Student Member, IEEE, Chenming Li

Therefore, this letter proposes a shallow model for HSIC, which is called depthwise over-parameterized convolutional neural network (DOCNN).

Hyperspectral Image Classification

A Novel Deep Learning Method for Thermal to Annotated Thermal-Optical Fused Images

no code implementations13 Jul 2021 Suranjan Goswami, IEEE Student Member, Satish Kumar Singh, Senior Member, Bidyut B. Chaudhuri, Life Fellow, IEEE

As a part of this work, we also present a new and unique database for obtaining the region of interest in thermal images based on an existing thermal visual paired database, containing the Region of Interest on 5 different classes of data.

Deep Learning Based Autonomous Vehicle Super Resolution DOA Estimation for Safety Driving

no code implementations IEEE Transactions on Intelligent Transportation Systems 2021 Liangtian Wan, Yuchen Sun, Lu Sun, Member, Zhaolong Ning, Senior Member, and Joel J. P. C. Rodrigues, Fellow, IEEE

Abstract— In this paper, a novel system architecture including a massive multi-input multi-output (MIMO) or a reconfigurable intelligent surface (RIS) and multiple autonomous vehicles is considered in vehicle location systems.

Autonomous Vehicles Super-Resolution

Deep Reinforcement Learning Based Optimization for IRS Based UAV-NOMA Downlink Networks

no code implementations17 Jun 2021 Shiyu Jiao, Ximing Xie, Zhiguo Ding, Fellow, IEEE

This paper investigates the application of deep deterministic policy gradient (DDPG) to intelligent reflecting surface (IRS) based unmanned aerial vehicles (UAV) assisted non-orthogonal multiple access (NOMA) downlink networks.

reinforcement-learning Reinforcement Learning (RL)

Detailed Primary and Secondary Distribution System Model Enhancement Using AMI Data

no code implementations29 May 2021 Karen Montano-Martinez, Sushrut Thakar, Shanshan Ma, Zahra Soltani, Student Member, Vijay Vittal, Life Fellow, Mojdeh Khorsand, Raja Ayyanar, Senior Member, Cynthia Rojas, Member, IEEE

Reliable and accurate distribution system modeling, including the secondary network, is essential in examining distribution system performance with high penetration of distributed energy resources (DERs).

Time Series Analysis

Low-Complexity Symbol Detection and Interference Cancellation for OTFS System

no code implementations 期刊 2021 Huiyang Qu, Guanghui Liu, Lei Zhang, Shan Wen, Graduate Student Member, and Muhammad Ali Imran, Senior Member, IEEE

Orthogonal time frequency space (OTFS) is a two-dimensional modulation scheme realized in the delay- Doppler domain, which targets the robust wireless transmissions in high-mobility environments.

Multi-Scale and Multi-Direction GAN for CNN-Based Single Palm-V ein Identification

no code implementations IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY 2021 Huafeng Qin, Mounim A. El-Y acoubi, Y a n t a o L i, Member, IEEE, and Chongwen Liu

Despite recent advances of deep neural networks in hand vein identification, the existing solutions assume the availability of a large and rich set of training image samples.

Data Augmentation

Data-Driven Assisted Chance-Constrained Energy and Reserve Scheduling with Wind Curtailment

no code implementations2 Nov 2020 Xingyu Lei, Student Member, Zhifang Yang, Member, Junbo Zhao, Juan Yu, Senior Member, IEEE

Case studies performed on the PJM 5-bus and IEEE 118-bus systems demonstrate that the proposed method is capable of accurately accounting the influence of wind curtailment dispatch in CCO.

Systems and Control Systems and Control

CRPN-SFNet: A High-Performance Object Detector on Large-Scale Remote Sensing Images

no code implementations28 Oct 2020 QiFeng Lin, Jianhui Zhao, Gang Fu, and Zhiyong Yuan, Member, IEEE

Extensive experiments on the public Dataset for Object deTection in Aerial images data set indicate that our CRPN can help our detector deal the larger image faster with the limited GPU memory; meanwhile, the SFNet is beneficial to achieve more accurate detection of geospatial objects with wide-scale range.

object-detection Object Detection In Aerial Images +1

Frame-wise Cross-modal Matching for Video Moment Retrieval

1 code implementation22 Sep 2020 Haoyu Tang, Jihua Zhu, Meng Liu, Member, IEEE, Zan Gao, Zhiyong Cheng

Another contribution is that we propose an additional predictor to utilize the internal frames in the model training to improve the localization accuracy.

Boundary Detection Moment Retrieval +1

Obstacle Avoidance and Tracking Control of Redundant Robotic Manipulator: An RNN-Based Metaheuristic Approach

no code implementations IEEE Transactions on Industrial Informatics 2020 Ameer Hamza Khan, Student Member, Shuai Li, and Xin Luo, Senior Member, IEEE

In this article, we present a metaheuristic-based control framework, called beetle antennae olfactory recurrent neural network, for simultaneous tracking control and obstacle avoidance of a redundant manipulator.

Edge server deployment scheme of blockchain in IoVs

no code implementations16 Jun 2020 Liya Xu, Mingzhu Ge, Weili Wu, Member, IEEE

In fact, the application of blockchain in IoVs can be implemented by employing edge computing.


Service Provisioning Framework for RAN Slicing: User Admissibility, Slice Association and Bandwidth Allocation

no code implementations IEEE Transactions on Mobile Computing 2020 Yao Sun, Shuang Qin, Member, Gang Feng, Lei Zhang, and Muhammad Ali Imran, SeniorMember, IEEE

Network slicing (NS) has been identified as one of the most promising architectural technologies for future mobile network systems to meet the extremely diversified service requirements of users.

Decision Fusion in Space-Time Spreading aided Distributed MIMO WSNs

no code implementations16 May 2020 I. Dey, H. Joshi, Member, N. Marchetti, Senior Member, IEEE

In this letter, we propose space-time spreading (STS) of local sensor decisions before reporting them over a wireless multiple access channel (MAC), in order to achieve flexible balance between diversity and multiplexing gain as well as eliminate any chance of intrinsic interference inherent in MAC scenarios.


Energy-Efficient Over-the-Air Computation Scheme for Densely Deployed IoT Networks

no code implementations IEEE 2020 Semiha Tedik Basaran, Student Member, Gunes Karabulut Kurt, and Periklis Chatzimisios, Senior Member, IEEE

The proposed MMSE estimator provides a signif- icant mean squared error improvement with reducing en- ergy consumption compared to the conventional estimator.

A Lightweight and Privacy-Preserving Authentication Protocol for Mobile Edge Computing

no code implementations27 Feb 2020 Kuljeet Kaur∗, Sahil Garg∗, Georges Kaddoum∗, Member, Mohsen Guizani†, Fellow, IEEE, and Dushantha Nalin K. Jayakody‡, Senior Member, IEEE.

With the advent of the Internet-of-Things (IoT), vehicular networks and cyber-physical systems, the need for realtime data processing and analysis has emerged as an essential pre-requite for customers’ satisfaction.

Edge-computing Privacy Preserving

Reconfigurable Intelligent Surface Assisted Multiuser MISO Systems Exploiting Deep Reinforcement Learning

1 code implementation24 Feb 2020 Chongwen Huang, Member, IEEE, Ronghong Mo, Chau Yuen, Senior Member

In this paper, we investigate the joint design of transmit beamforming matrix at the base station and the phase shift matrix at the RIS, by leveraging recent advances in deep reinforcement learning (DRL).

Neural Network simulation reinforcement-learning +1

Reinforcement Learning Tracking Control for Robotic Manipulator With Kernel-Based Dynamic Model

no code implementations TRANSACTION 2020 Yazhou Hu, Wenxue Wang, Hao liu, and Lianqing Liu, Member, IEEE

In this algorithm, a reward function is defined according to the features of tracking control in order to speed up the learning process, and then an RL tracking controller with a kernel-based transition dynamic model is proposed.

Continuous Control reinforcement-learning +1

Broad Learning System Based on Maximum Correntropy Criterion

no code implementations24 Dec 2019 Yunfei Zheng, Badong Chen, Shiyuan Wang, Senior Member, Weiqun Wang, Member, IEEE

As an effective and efficient discriminative learning method, Broad Learning System (BLS) has received increasing attention due to its outstanding performance in various regression and classification problems.

General Classification Incremental Learning +1

Localization and Clustering Based on Swarm Intelligence in UAV Networks for Emergency Communications

no code implementations IEEE Internet of Things Journal 2019 Muhammad Yeasir Arafat, Sangman Moh, Member, IEEE

Second, we propose an energy-efficient swarm-intelligence-based clustering (SIC) algorithm based on PSO, in which the particle fitness function is exploited for inter-cluster distance, intra-cluster distance, residual energy, and geographic location.

GETNET: A General End-to-end Two-dimensional CNN Framework for Hyperspectral Image Change Detection

no code implementations5 May 2019 Qi. Wang, Senior Member, Zhenghang Yuan, Qian Du, Xuelong. Li, Fellow, IEEE

In order to better handle high dimension problem and explore abundance information, this paper presents a General End-to-end Two-dimensional CNN (GETNET) framework for hyperspectral image change detection (HSI-CD).

Change Detection

VSSA-NET: Vertical Spatial Sequence Attention Network for Traffic Sign Detection

no code implementations5 May 2019 Yuan Yuan, Zhitong Xiong, Student Member, Qi. Wang, Senior Member, IEEE

Our contributions are as follows: 1) We propose a multi-resolution feature fusion network architecture which exploits densely connected deconvolution layers with skip connections, and can learn more effective features for the small size object; 2) We frame the traffic sign detection as a spatial sequence classification and regression task, and propose a vertical spatial sequence attention (VSSA) module to gain more context information for better detection performance.

object-detection Object Detection +1

Generalization of the Dark Channel Prior for Single Image Restoration

no code implementations IEEE Transactions on Image Processing 2019 Yan-Tsung Peng, Keming Cao, and Pamela C. Cosman, Fellow, IEEE

Abstract— Images degraded by light scattering and absorption, such as hazy, sandstorm, and underwater images, often suffer color distortion and low contrast because of light traveling through turbid media.

Underwater Image Restoration

PEA265: Perceptual Assessment of Video Compression Artifacts

no code implementations1 Mar 2019 Liqun Lin, Shiqi Yu, Tiesong Zhao, Member, Zhou Wang, Fellow, IEEE

To monitor and improve visual QoE, it is crucial to develop subjective and objective measures that can identify and quantify various types of PEAs.

Motion Estimation Video Compression +1

A Provably Secure and Efficient Identity-Based Anonymous Authentication Scheme for Mobile Edge Computing

no code implementations22 Feb 2019 Xiaoying Jia,Debiao He, Neeraj Kumar, and Kim-Kwang Raymond Choo, Senior Member, IEEE

Mobile edge computing (MEC) allows one to overcome a number of limitations inherent in cloud computing, although achieving the broad range of security requirements in MEC settings remains challenging.


Location-Centered House Price Prediction: A Multi-Task Learning Approach

no code implementations7 Jan 2019 Guangliang Gao, Zhifeng Bao, Jie Cao, A. K. Qin, Timos Sellis, Fellow, IEEE, Zhiang Wu

Regarding the choice of prediction model, we observe that a variety of approaches either consider the entire house data for modeling, or split the entire data and model each partition independently.

Multi-Task Learning

DATS: Dispersive Stable Task Scheduling in Heterogeneous Fog Networks

no code implementations Conference 2018 Zening Liu, Xiumei Yang, Yang Yang, Kunlun Wang, and Guoqiang Mao, Fellow, IEEE

Abstract—Fog computing has risen as a promising architecture for future Internet of Things (IoT), 5G and embedded artificial intelligence (AI) applications with stringent service delay requirements along the cloud to things continuum.

Scheduling STS

Blockchain for Secure and Efficient Data Sharing in Vehicular Edge Computing and Networks

no code implementations IEEE INTERNET OF THINGS JOURNAL, VOL. 6, NO. 3 2018 Jiawen Kang, Rong Y u, Xumin Huang, Maoqiang Wu, Sabita Maharjan, Member, Shengli Xie, and Y an Zhang, Senior Member, IEEE

Due to limited resources with vehicles, vehicular edge computing and networks (VECONs) i. e., the integration of mobile edge computing and vehicular networks, can provide powerful computing and massive storage resources.


Optimal Training for Residual Self-Interference for Full-Duplex One-Way Relays

no code implementations13 Aug 2018 Xiaofeng Li, Cihan Tepedelenlio˘glu, and Habib ¸Senol, Member, IEEE

For the former, we propose a training scheme to estimate the overall channel, and for the latter the CRB and the optimal number of relays are derived when the distance between the source and the destination is fixed.

Medical Image Synthesis with Deep Convolutional Adversarial Networks

1 code implementation IEEE Transactions on Biomedical Engineering 2018 Dong Nie, Roger Trullo, Jun Lian, Li Wang, Caroline Petitjean, Su Ruan, Qian Wang, and Dinggang Shen, Fellow, IEEE

To better model a nonlinear mapping from source to target and to produce more realistic target images, we propose to use the adversarial learning strategy to better model the FCN.

Image Generation

Single Image Dehazing Using Color Ellipsoid Prior

1 code implementation IEEE Transactions on Image Processing 2018 Trung Minh Bui, Student Member, and Wonha Kim, Senior Member, IEEE

The proposed method constructs color ellipsoids that are statistically fitted to haze pixel clusters in RGB space and then calculates the transmission values through color ellipsoid geometry.

Image Dehazing Single Image Dehazing

Significantly Fast and Robust Fuzzy C-MeansClustering Algorithm Based on MorphologicalReconstruction and Membership Filtering

no code implementations IEEE 2018 Tao Lei, Xiaohong Jia, Yanning Zhang, Lifeng He, Hongy-ing Meng, Senior Member, and Asoke K. Nandi, Fellow, IEEE

However, the introduction oflocal spatial information often leads to a high computationalcomplexity, arising out of an iterative calculation of the distancebetween pixels within local spatial neighbors and clusteringcenters.

Image Segmentation Semantic Segmentation

Robust Single Image Super-Resolution via Deep Networks With Sparse Prior

1 code implementation journals 2016 Ding Liu, Zhaowen Wang, Bihan Wen, Student Member, Jianchao Yang, Member, Wei Han, and Thomas S. Huang, Fellow, IEEE

We demonstrate that a sparse coding model particularly designed for SR can be incarnated as a neural network with the merit of end-to-end optimization over training data.

Image Super-Resolution

Physiological Parameter Monitoring from Optical Recordings with a Mobile Phone

no code implementations29 Jul 2011 Christopher G. Scully, Student Member, Jinseok Lee, Joseph Meyer, Alexander M. Gorbach, Domhnull Granquist-Fraser, Yitzhak Mendelson, Member, and Ki H. Chon, Senior Member, IEEE

We show that a mobile phone can serve as an accurate monitor for several physiological variables, based on its ability to record and analyze the varying color signals of a fingertip placed in contact with its optical sensor.

Heart rate estimation Heart Rate Variability +1

Efficiently Indexing Large Sparse Graphs for Similarity Search

no code implementations18 Feb 2010 Guoren Wang, Bin Wang, Xiaochun Yang, IEEE Computer Society, and Ge Yu, Member, IEEE

Abstract—The graph structure is a very important means to model schemaless data with complicated structures, such as protein- protein interaction networks, chemical compounds, knowledge query inferring systems, and road networks.

Parameter-free Geometric Document Layout Analysis

no code implementations IEEE Transactions on Pattern Analysis and Machine Intelligence 2001 Seong-Whan Lee, Senior Member, IEEE, and Dae-Seok Ryu

Based on the proposed periodicity measure, multiscale analysis, and confirmation procedure, we could develop a robust method for geometric document layout analysis independent of character font sizes, text line spacing, and document layout structures.

Document Layout Analysis Texture Classification

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