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检索条件"机构=Signal Processing and Recognition Laboratory"
120 条 记 录,以下是1-10 订阅
排序:
Zero-Shot Audio Captioning Using Soft and Hard Prompts
IEEE Transactions on Audio, Speech and Language Processing
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IEEE Transactions on Audio, Speech and Language processing 2025年 33卷 2045-2058页
作者: Yiming Zhang Xuenan Xu Ruoyi Du Haohe Liu Yuan Dong Zheng-Hua Tan Wenwu Wang Zhanyu Ma Pattern Recognition and Intelligent System Laboratory School of Artificial Intelligence Beijing University of Posts and Telecommunications Beijing China Department of Computer Science and Engineering Shanghai Jiao Tong University Shanghai China Centre for Vision Speech and Signal Processing University of Surrey Guildford U.K. Department of Electronic Systems Aalborg University Aalborg Denmark
In traditional audio captioning methods, a model is usually trained in a fully supervised manner using a human-annotated dataset containing audio-text pairs and then evaluated on the test set from the same dataset. Su... 详细信息
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Metasurface-Loaded Circularly Polarized Dual-Band MIMO Cellphone Frame Antenna for Mobile Communication Applications
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IEEE Antennas and Wireless Propagation Letters 2025年
作者: Meng, Yanfeng Ren, Aidi Wang, Chao Xu, Guanghui Zhao, Luyu Li, Yingsong Yang, Lixia Huang, Zhi-Xiang Anhui University Information Materials and Intelligent Sensing Laboratory of Anhui Province Hefei230039 China Anhui University School of Electronic and Information Engineering Hefei230601 China Anhui University Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Hefei230039 China Anhui Province Key Laboratory of Target Recognition and Feature Extraction Anhui237010 China Anhui University Key Laboratory of Electromagnetic Environment al Sensing of Anhui Higher Education Institutes Hefei230039 China
In this letter, a set of circularly polarized (CP) multiple-input multiple-output (MIMO) cellphone frame antennas for mobile communication applications is proposed. The planar inverted-F antenna (PIFA) and monopole an... 详细信息
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Online radar screening pulse width allocation Strategy Based on Non-stationary Bandit
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Digital signal processing 2025年
作者: Hongyu Zhu Yefei Wang Rong Xie Zheng Liu Shuwen Xu Lei Ran National Key Laboratory of Radar Signal Processing Xidian University Xi’an 710071 China Multisensor Intelligent Detection and Recognition Technologies R&D Center of CASC Chengdu 610100 China
With the development of jamming technologies, jammers can respond to radar signals within a short period, causing radar frequency-hopping strategies to fail. In the face of jammers with instantaneous frequency measure...
来源: 评论
A Short Review on Industrial Prognostic Hybrid Approaches: Concepts, Techniques and Applications  12
A Short Review on Industrial Prognostic Hybrid Approaches: C...
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2024 12th International Conference on Systems and Control, ICSC 2024
作者: Bouzenita, M. Mouss, L.-H. Melgani, F. Bentrcia, T. Batna Algeria University of Trento The Laboratory of Signal Processing and Recognition Trento38123 Italy
In the present work, we provide a short literature review on prognostics hybrid approaches as recently emerged in a wide range of industrial applications. In this context, we cover the main concepts of the prognostics... 详细信息
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Image-based algorithm for the catheter recognition based on GLCM  28
Image-based algorithm for the catheter recognition based on ...
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28th International Conference on Computer Graphics and Vision, GraphiCon 2018
作者: Danilov, V.V. Skirnevskiy, I.P. Manakov, R.A. Gerget, O.M. Melgani, F. Medical Devices Design Laboratory Tomsk Polytechnic University Tomsk Russia Signal Processing and Recognition Laboratory University of Trento Trento Italy
The focus of this study was to develop an image-based algorithm for the catheter detection. Epicardial full-volume 3D echocardiography datasets were used as an input data of the algorithm. In total, 9 datasets consist... 详细信息
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Optimal ν-SVM parameter estimation using multi objective evolutionary algorithms
Optimal ν-SVM parameter estimation using multi objective ev...
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2010 6th IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 IEEE Congress on Evolutionary Computation, CEC 2010
作者: Ethridge, James Ditzler, Gregory Polikar, Robi Dept. of Electrical and Computer Engineering Rowan University Signal Processing and Pattern Recognition Laboratory Glassboro NJ 08028 United States
Using a machine learning algorithm for a given application often requires tuning design parameters of the classifier to obtain optimal classification performance without overfitting. In this contribution, we present a... 详细信息
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Robust speech recognition using adaptive noise threshold estimation and wavelet shrinkage
Robust speech recognition using adaptive noise threshold est...
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HUT-ICCE 2008 - 2nd International Conference on Communications and Electronics
作者: Tuan, Van Pham Kubin, Gernot Rank, Erhard Signal Processing and Speech Communication Laboratory Graz University of Technology Graz Austria Research and Development Philips Speech Recognition Systems Vienna Austria
We propose an improved noise reduction method for robust speech recognition based on a perceptually statistical wavelet filtering algorithm. Perceptual noise thresholds are estimated from the universal thresholds for ... 详细信息
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STRNet:Triple-stream Spatiotemporal Relation Network for Action recognition
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International Journal of Automation and computing 2021年 第5期18卷 718-730页
作者: Zhi-Wei Xu Xiao-Jun Wu Josef Kittler School of Artificial Intelligence and Computer Science Jiangnan UniversityWuxi 214122China Jiangsu Provincial Engineering Laboratory of Pattern Recognition and Computational Intelligence Wuxi 214122China Centre for Vision Speech and Signal ProcessingUniversity of SurreyGuildfordGU27XHUK
Learning comprehensive spatiotemporal features is crucial for human action recognition. Existing methods tend to model the spatiotemporal feature blocks in an integrate-separate-integrate form, such as appearance-and-... 详细信息
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Semi-Supervised Learning in Initially Labeled Non-Stationary Environments with Gradual Drift
Semi-Supervised Learning in Initially Labeled Non-Stationary...
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International Joint Conference on Neural Networks
作者: Karl B. Dyer Robi Polikar Signal Processing & Pattern Recognition Laboratory Rowan University
Semi-supervised learning (SSL) in non-stationary environments has received relatively little attention in machine learning, despite a growing number of applications that can benefit from a properly configured SSL algo... 详细信息
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An Optimization Method Based on Deep Learning for Electromagnetic Inverse Scattering Problems
An Optimization Method Based on Deep Learning for Electromag...
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2024 International Applied Computational Electromagnetics Society Symposium, ACES-China 2024
作者: Hu, Wangchao Xie, Guoda Dai, Jinpeng Hou, Guilin Li, Xiang Huang, Zhixiang Anhui University The Key Laboratory of Intelligent Computing and Signal Processing Hefei China Anhui Province Key Laboratory of Target Recognition and Feature Extraction Education of Anhui Province Luan237000 China Ministry of Education The Key Laboratory of Intelligent Computing and Signal Processing Hefei China Anhui Province Anhui University Key Laboratory of Electromagnetic Environmental Sensing Hefei230601 China Anhui University Hefei China
In this paper, a deep learning optimization method combining U-net model and cycle generative adversarial network (Cycle-GAN) is proposed to efficiently solve the electromagnetic inverse scattering (EMIS) problems. Fi... 详细信息
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