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检索条件"任意字段=International Conference on Signal and Data Processing, ICSDP 2019"
2690 条 记 录,以下是71-80 订阅
排序:
MAKING DECISIONS WITH SHUFFLED BITS  44
MAKING DECISIONS WITH SHUFFLED BITS
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44th IEEE international conference on Acoustics, Speech and signal processing (ICASSP)
作者: Marano, Stefano Willett, Peter Univ Salerno DIEM Fisciano SA Italy Univ Connecticut ECE Dept Storrs CT USA
Unlabeled detection is an emerging paradigm for modern decentralized decision systems faced with big-data applications, and for all those applications in which data must be fused without exploiting their identity, due... 详细信息
来源: 评论
TV-DCT: METHOD TO IMPUTE GENE EXPRESSION data USING DCT BASED SPARSITY AND TOTAL VARIATION DENOISING  44
TV-DCT: METHOD TO IMPUTE GENE EXPRESSION DATA USING DCT BASE...
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44th IEEE international conference on Acoustics, Speech and signal processing (ICASSP)
作者: Farswan, Akanksha Gupta, Anubha IIIT Delhi Dept ECE Signal Proc & Biomed Imaging Lab SBILab New Delhi India
Most of the bioinformatics tools used in the analysis of gene expression data require complete data matrices. Missing values in data can adversely influence the downstream analysis for diagnostics and treatment. Sever... 详细信息
来源: 评论
SHIFT-INVARIANT SUBSPACE TRACKING WITH MISSING data  44
SHIFT-INVARIANT SUBSPACE TRACKING WITH MISSING DATA
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44th IEEE international conference on Acoustics, Speech and signal processing (ICASSP)
作者: Cho, Myung Chi, Yuejie Carnegie Mellon Univ Dept Elect & Comp Engn Pittsburgh PA 15213 USA
Subspace tracking is an important problem in signal processing that finds applications in wireless communications, video surveillance, and source localization in radar and sonar. In recent years, it is recognized that... 详细信息
来源: 评论
ENHANCED STREAMING BASED SUBSPACE CLUSTERING APPLIED TO ACOUSTIC SCENE data CLUSTERING  44
ENHANCED STREAMING BASED SUBSPACE CLUSTERING APPLIED TO ACOU...
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44th IEEE international conference on Acoustics, Speech and signal processing (ICASSP)
作者: Li, Shuoyang Gu, Yuantao Luo, Yuhui Chambers, Jonathon Wang, Wenwu Univ Surrey Dept Elect & Elect Engn Guildford Surrey England Tsinghua Univ Dept Elect Engn Beijing Peoples R China Natl Phys Lab Data Sci Dept Teddington Middx England Univ Leicester Dept Engn Leicester Leics England
Labelled data are often required to train an acoustic scene classification system. However, it is time-consuming and expensive to label the data manually. An unsupervised clustering algorithm can be used to facilitate... 详细信息
来源: 评论
AGGREGATION GRAPH NEURAL NETWORKS  44
AGGREGATION GRAPH NEURAL NETWORKS
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44th IEEE international conference on Acoustics, Speech and signal processing (ICASSP)
作者: Gama, Fernando Marques, Antonio G. Ribeiro, Alejandro Leus, Geert Univ Penn Dept Elect & Syst Engn Philadelphia PA 19104 USA King Juan Carlos Univ Dept Signal Theory & Commun Madrid Spain Delft Univ Technol Dept Microelect Delft Netherlands
Graph neural networks (GNNs) regularize classical neural networks by exploiting the underlying irregular structure supporting graph data, extending its application to broader data domains. The aggregation GNN presente... 详细信息
来源: 评论
SPARSE SUBSPACE CLUSTERING FOR EVOLVING data STREAMS  44
SPARSE SUBSPACE CLUSTERING FOR EVOLVING DATA STREAMS
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44th IEEE international conference on Acoustics, Speech and signal processing (ICASSP)
作者: Sui, Jinping Liu, Zhen Liu, Li Jung, Alexander Liu, Tianpeng Peng, Bo Li, Xiang Natl Univ Def Technol Coll Elect Sci Changsha 410073 Hunan Peoples R China Aalto Univ Dept Comp Sci Espoo 02150 Finland Natl Univ Def Technol Coll Syst Engn Changsha 410073 Hunan Peoples R China Univ Oulu Ctr Machine Vis & Signal Anal Oulu Finland
The data streams arising in many applications can be modeled as a union of low-dimensional subspaces known as multi-subspace data streams (MSDSs). Clustering MSDSs according to their underlying low-dimensional subspac... 详细信息
来源: 评论
PREDICTION-ERROR-ORDERING FOR HIGH-FIDELITY REVERSIBLE data HIDING  44
PREDICTION-ERROR-ORDERING FOR HIGH-FIDELITY REVERSIBLE DATA ...
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44th IEEE international conference on Acoustics, Speech and signal processing (ICASSP)
作者: Dragoi, Ioan Catalin Coltuc, Dinu Valahia Univ Targoviste Fac Elect Engn Elect & Informat Technol Targoviste Romania
Pixel-value-ordering (PVO) appears as an efficient solution for high-fidelity reversible data hiding. State-of-the-art PVO schemes split the host image into blocks, sort pixels within the blocks based on their graylev... 详细信息
来源: 评论
Heterogeneous Multi-sensor data Fusion in Radar signal processing  4
Heterogeneous Multi-sensor Data Fusion in Radar Signal Proce...
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4th international conference on Electromechanical Control Technology and Transportation (ICECTT)
作者: Liu, Qiyue Zhang, Qi Chinese Peoples Liberat Army Troop 91245 Huludao Peoples R China Naval Univ Engn Sch Elect Engn Wuhan Hubei Peoples R China
The complexity of the spatial environment and the ambiguity of the radar signal processing lower the reliability of the single radar in the precision tracking system. It has become a trend of using the radar in conjun... 详细信息
来源: 评论
INFORMED EGO-NOISE SUPPRESSION USING MOTOR data-DRIVEN DICTIONARIES  44
INFORMED EGO-NOISE SUPPRESSION USING MOTOR DATA-DRIVEN DICTI...
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44th IEEE international conference on Acoustics, Speech and signal processing (ICASSP)
作者: Schmidt, Alexander Kellermann, Walter Friedrich Alexander Univ Erlangen Nurnberg Multimedia Commun & Signal Proc Cauerstr 7 D-91058 Erlangen Germany
The suppression of ego-noise for (humanoid) robots is typically addressed by learning-based techniques. In this paper, we propose a novel approach which models significant parts of ego-noise spectrograms based on moto... 详细信息
来源: 评论
USING 3D RESIDUAL NETWORK FOR SPATIO-TEMPORAL ANALYSIS OF REMOTE SENSING data  44
USING 3D RESIDUAL NETWORK FOR SPATIO-TEMPORAL ANALYSIS OF RE...
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44th IEEE international conference on Acoustics, Speech and signal processing (ICASSP)
作者: Bhimra, Muhammad Ahmed Nazir, Usman Taj, Murtaza LUMS Syed Babar Ali Sch Sci & Engn Dept Comp Sci Lahore Pakistan
In this paper, we propose an approach to recognize spatio-temporal changes from remote sensing data. Instead of performing independent analysis on each instance of satellite imagery, we proposed a 3D Convolutional Neu... 详细信息
来源: 评论