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检索条件"主题词=Convolutional sparse coding"
169 条 记 录,以下是101-110 订阅
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convolutional neural networks analyzed via convolutional sparse coding
The Journal of Machine Learning Research
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The Journal of Machine Learning Research 2017年 第1期18卷
作者: Vardan Papyan Yaniv Romano Michael Elad Department of Computer Science Technion - Israel Institute of Technology Technion City Haifa Israel
convolutional neural networks (CNN) have led to many state-of-the-art results spanning through various fields. However, a clear and profound theoretical understanding of the forward pass, the core algorithm of CNN, is... 详细信息
来源: 评论
PIANO MUSIC TRANSCRIPTION WITH FAST convolutional sparse coding  25
PIANO MUSIC TRANSCRIPTION WITH FAST CONVOLUTIONAL SPARSE COD...
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IEEE International Workshop on Machine Learning for Signal Processing
作者: Cogliati, Andrea Duan, Zhiyao Wohlberg, Brendt Univ Rochester Rochester NY USA Los Alamos Natl Lab Los Alamos NM USA
Automatic music transcription (AMT) is the process of converting an acoustic musical signal into a symbolic musical representation, such as a MIDI file, which contains the pitches, the onsets and offsets of the notes ... 详细信息
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Video Anomaly Detection using Selective Spatio-Temporal Interest Points and convolutional sparse coding
Video Anomaly Detection using Selective Spatio-Temporal Inte...
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IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT)
作者: Cahyadi, Rudy Fadlil, Junaidillah Natl Taiwan Univ Sci & Technol Dept Comp Sci & Informat Engn Taipei Taiwan
Finding substantial features is a significant approach to cope the challenges of video anomaly detection and localization. The specific important representation are selected to detect an event in video. State-of-the-a... 详细信息
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convolutional Laplacian sparse coding
Convolutional Laplacian Sparse Coding
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IEEE Southwest Symposium on Image Analysis and Interpretation (SSIAI)
作者: Luo, Xiyang Wohlberg, Brendt Univ Calif Los Angeles Dept Math Los Angeles CA 90024 USA Los Alamos Natl Lab Div Theoret Los Alamos NM USA
We propose to extend the the standard convolutional sparse representation by combining it with a non-local graph Laplacian term. This additional term is chosen to address some of the deficiencies of the l(1) norm in r... 详细信息
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Informed monaural source separation of music based on convolutional sparse coding  40
Informed monaural source separation of music based on convol...
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40th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015
作者: Jao, Ping-Keng Yang, Yi-Hsuan Wohlberg, Brendt Research Center for Information Technology Innovation Academia Sinica Taiwan Theoretical Division Los Alamos National Laboratory United States
Monaural source separation is a challenging problem that has many important applications in music information retrieval. In this paper, we focus on the score-informed variant of this problem. While non-negative matrix... 详细信息
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Efficient convolutional Forward Modeling and sparse coding in Multichannel Imaging  32
Efficient Convolutional Forward Modeling and Sparse Coding i...
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32nd European Signal Processing Conference (EUSIPCO)
作者: Wang, Han Kvich, Yhonatan Perez, Eduardo Roemer, Florian Eldar, Yonina C. Fraunhofer Inst Nondestruct Testing Appl AI Signal Proc & Data Anal Saarbrucken Germany Weizmann Inst Sci Fac Math & Comp Sci Rehovot Israel Tech Univ Ilmenau Dept Elect Measurements & Signal Proc Ilmenau Germany
This study considers the Block-Toeplitz structural properties inherent in traditional multichannel forward model matrices, using Full Matrix Capture (FMC) in ultrasonic testing as a case study. We propose an analytica... 详细信息
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EFFICIENT convolutional sparse coding
EFFICIENT CONVOLUTIONAL SPARSE CODING
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IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
作者: Wohlberg, Brendt Los Alamos Natl Lab Div Theoret Los Alamos NM 87545 USA
When applying sparse representation techniques to images, the standard approach is to independently compute the representations for a set of overlapping image patches. This method performs very well in a variety of ap... 详细信息
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MDSC-Net: Multi-Modal Discriminative sparse coding Driven RGB-D Classification Network
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IEEE TRANSACTIONS ON MULTIMEDIA 2025年 27卷 442-454页
作者: Xu, Jingyi Deng, Xin Fu, Yibing Xu, Mai Li, Shengxi Beihang Univ Sch Elect & Informat Engn Beijing 100191 Peoples R China Beihang Univ Shen Yuan Honors Coll Beijing 100191 Peoples R China
In this paper, we propose a novel sparsity-driven deep neural network to solve the RGB-D image classification problem. Different from existing classification networks, our network architecture is designed by drawing i... 详细信息
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A deep learning approach for pose error prediction in parallel robots
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MEASUREMENT 2025年 第PartA期242卷
作者: Zhang, Han Zhu, Xin Yang, Ming Liu, Zhihua Cai, Chenguang Natl Inst Metrol Inst Mech & Acoust Beijing 100029 Peoples R China Guizhou Univ Coll Elect Engn Guiyang 550025 Peoples R China
Parallel robots are increasingly favored in industrial automation due to their high precision, stability, and rigidity in high-speed and heavy-load tasks. However, factors such as manufacturing tolerances, assembly de... 详细信息
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Learning to Generalize Heterogeneous Representation for Cross-Modality Image Synthesis via Multiple Domain Interventions
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INTERNATIONAL JOURNAL OF COMPUTER VISION 2025年 1-22页
作者: Huang, Yawen Huang, Huimin Zheng, Hao Li, Yuexiang Zheng, Feng Zhen, Xiantong Zheng, Yefeng Tencent Jarvis Res Ctr YouTu Lab Shenzhen Peoples R China Guangxi Med Univ Guangxi Key Lab Genom & Personalized Med Med AI Res MARS Grp Nanning 530021 Guangxi Peoples R China Southern Univ Sci & Technol Shenzhen Peoples R China United Imaging Healthcare Co Ltd Cent Res Inst Beijing Peoples R China Westlake Univ Med Artificial Intelligence Lab Hangzhou Peoples R China
Magnetic resonance imaging with modality diversity substantially increases productivity in routine diagnosis and advanced research. However, high inter-equipment variability and expensive examination cost remain as ke... 详细信息
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