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2021 Index IEEE Journal of Selected Topics in Signal Processing Vol. 15
2021
IEEE Journal on Selected Topics in Signal Processing
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., +, JSTSP Jan. 2021 132-142 Phase Retrieval With Bregman Divergences and Application to Audio Signal Recovery. ...
., +, JSTSP Feb. 2021 240-252 Phase Retrieval With Bregman Divergences and Application to Audio Signal Recovery. ...
doi:10.1109/jstsp.2021.3135675
fatcat:pofbfingjbc7dhn5i7mtqbebuy
Music Data Mining
[chapter]
2011
Chapman & Hall/CRC Data Mining and Knowledge Discovery Series
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Particularly, in data mining, tensor decomposition and factorization has comprehensive applications. For example, Liu et al. ...
to the multi-channel case. ...
The above issues are regarded as major challenges for the further evolution of music data mining technology. [Adli et al., 2010] Adli, A., Nakao, Z., and Nagata, Y. (2010) . ...
doi:10.1201/b11041-3
fatcat:y2etjljj6jdzrkq7dzikyk5kwq
2021 Index IEEE/ACM Transactions on Audio, Speech, and Language Processing Vol. 29
2021
IEEE/ACM Transactions on Audio Speech and Language Processing
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Multichannel Blind Source Separation Based on Evanescent-Region-Aware Non-Negative Tensor Factorization in Spherical Harmonic Domain. ...
., +, TASLP 2021 2656-2670 Multichannel Blind Source Separation Based on Evanescent-Region-Aware Non-Negative Tensor Factorization in Spherical Harmonic Domain. ...
Matrices A Superfast Toeplitz Matrix Inversion Method for Single-and Multi-Channel Inverse Filters and Its Application to Room Equalization. ...
doi:10.1109/taslp.2022.3147096
fatcat:7nl52k7sjfalbhpxtum3y5nmje
Table of Contents
2021
IEEE/ACM Transactions on Audio Speech and Language Processing
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Chen Multichannel Blind Source Separation Based on Evanescent-Region-Aware Non-Negative Tensor Factorization in Spherical Harmonic Domain . . . . . . . . . . . . . . . . . . . . . . . . . . . . Y. ...
Jax CTC-Based Learning of Chroma Features for Score-Audio Music Retrieval . . . . . . . . . . . . . . . ..F. Zalkow and M. ...
doi:10.1109/taslp.2021.3137064
fatcat:rpka3f2bhjh37c7pkhiowyndhm
2020 Index IEEE Transactions on Image Processing Vol. 29
2020
IEEE Transactions on Image Processing
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Xie, H., +, TIP 2020 7290-7305
Audio signal processing
A Multimodal Saliency Model for Videos With High Audio-Visual Corre-
spondence. ...
Borsoi, R.A., +, TIP 2020
116-127
Geophysical signal processing
A Data-Driven Model-Based Regression Applied to Panchromatic Sharpen-
ing. ...
doi:10.1109/tip.2020.3046056
fatcat:24m6k2elprf2nfmucbjzhvzk3m
2021 Index IEEE Signal Processing Letters Vol. 28
2021
IEEE Signal Processing Letters
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., +, LSP 2021 1833-1837 Data handling Hierarchical Factorization Strategy for High-Order Tensor and Application to Data Completion. ...
., +, LSP 2021 932-936 Data mining A Unimodal Reinforced Transformer With Time Squeeze Fusion for Multi-modal Sentiment Analysis. ...
doi:10.1109/lsp.2022.3145253
fatcat:a3xqvok75vgepcckwnhh2mty74
2021 Index IEEE Transactions on Multimedia Vol. 23
2021
IEEE transactions on multimedia
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., +, TMM 2021 4259-4271 Factorized Tensor Dictionary Learning for Visual Tensor Data Completion. ...
Liu, Z., +, TMM 2021 3414-3426 Data mining Hard Pixel Mining for Depth Privileged Semantic Segmentation. ...
doi:10.1109/tmm.2022.3141947
fatcat:lil2nf3vd5ehbfgtslulu7y3lq
Non-negative mixtures
[chapter]
2010
Handbook of Blind Source Separation
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The 2-D models can be naturally extended to multiway array (tensor) decompositions, especially Non-negative Tensor Factorization (NTF) and Non-negative Tucker Decomposition (NTD). ...
their combination with other unmixing methods such as non-negative ICA and sparse non-negative matrix factorization. ...
Acknowledgements MP is supported by EPSRC Leadership Fellowship EP/G007144/1 and EU FET-Open project FP7-ICT-225913 "Sparse Models, Algorithms, and Learning for Large-scale data (SMALL)". ...
doi:10.1016/b978-0-12-374726-6.00018-7
fatcat:tmy5i4jpvnb27fwjlxnpiw3dxi
Table of contents
2021
ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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WITH ..........................................STANDARD ESPRIT FOR OVERCOMING IMPERFECTIONS IN ................................CONSTRAINED TENSOR DECOMPOSITION FOR 2D DOA ESTIMATION IN ............... ...
Army Research Laboratory, United States; Ufuk Topcu, University of Texas at Austin, United States SAM-13.2: CANONICAL POLYADIC TENSOR DECOMPOSITION WITH LOW-RANK .................................... 4665 ...
doi:10.1109/icassp39728.2021.9414617
fatcat:m5ugnnuk7nacbd6jr6gv2lsfby
Massive MIMO functionality splits based on hybrid analog-digital precoding in a C-RAN architecture
2017
2017 51st Asilomar Conference on Signals, Systems, and Computers
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I describe the signal processing challenges associated with fast antenna array configuration. ...
Then I explain how these features impact the formulation and solution of traditional MIMO signal processing problems like beamforming, precoding, and channel estimation. ...
Mining
Ishmam Zabir, Evangelos Papalexakis, University of
California, Riverside, United States
TA5-6
Coupled Matrix-Tensor Factorizations -The 10:40 AM
Case of Partially Shared Factors
Lieven ...
doi:10.1109/acssc.2017.8335612
dblp:conf/acssc/KimPCM17
fatcat:jujepkjavrftfdg2w7ooy3lucy
2020 Index IEEE Transactions on Circuits and Systems for Video Technology Vol. 30
2020
IEEE transactions on circuits and systems for video technology (Print)
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., +, TCSVT April 2020 1147-1161 + Check author entry for coauthors Sketch-Based Image Retrieval With Multi-Clustering Re-Ranking. ...
Yin, J., +, TCSVT Aug.
2020 2477-2488
D
Data analysis
Fast Depth Map Intra Coding for 3D Video Compression-Based Tensor
Feature Extraction and Data Analysis. ...
., +, TCSVT Sept. 2020 3238-3252 Algorithm and VLSI Architecture Co-Design on Efficient Semi-Global Stereo Matching. Zhang, X., +, ...
doi:10.1109/tcsvt.2020.3043861
fatcat:s6z4wzp45vfflphgfcxh6x7npu
A survey of multilinear subspace learning for tensor data
2011
Pattern Recognition
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Lastly, the paper summarizes a wide range of MSL applications and concludes with perspectives on future research directions. ...
Increasingly large amount of multidimensional data are being generated on a daily basis in many applications. ...
These survey papers primarily focus on unsupervised tensor data analysis through factor decomposition. ...
doi:10.1016/j.patcog.2011.01.004
fatcat:6puqzxrohfawraeiyid6633wdm
2021 Index IEEE Transactions on Image Processing Vol. 30
2021
IEEE Transactions on Image Processing
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., +, TIP 2021 8939-8954 Stroke-Based Scene Text Erasing Using Synthetic Data for Training. Fabric Retrieval Based on Multi-Task Learning. ...
., +, TIP 2021 1570-1582 Face Video Retrieval Based on the Deep CNN With RBF Loss. ...
doi:10.1109/tip.2022.3142569
fatcat:z26yhwuecbgrnb2czhwjlf73qu
Implementation of Fog computing for reliable E-health applications
2015
2015 49th Asilomar Conference on Signals, Systems and Computers
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In this paper we follow-up on recent massive MTC concepts combining advanced MAC protocols with Compressed Sensing (CS) based multiuser detection. ...
The final evaluation is done with computer simulation of a multi-cell system. ...
The sensor constructs a tensor based on the trispectrum and which can be modeled as a block partitioned tensor (BPT). ...
doi:10.1109/acssc.2015.7421170
dblp:conf/acssc/CraciunescuMMKP15
fatcat:qm6mki5z6bcvrfimkmqjyrxaxm
Ping-pong beam training for reciprocal channels with delay spread
2015
2015 49th Asilomar Conference on Signals, Systems and Computers
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arrays. (3) Gather data and insights into the resulting system performance, and the factors that affect it. ...
This paper examines moving target detection (MTD) in distributed multi-input multi-output (MIMO) radar with sensors placed on moving platforms. ...
The sensor constructs a tensor based on the trispectrum and which can be modeled as a block partitioned tensor (BPT). ...
doi:10.1109/acssc.2015.7421451
dblp:conf/acssc/CarvalhoA15
fatcat:mqokuvnh3zg45licnfbgxyvxfu
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