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检索条件"主题词=Nonnegative Matrix factorization"
1478 条 记 录,以下是251-260 订阅
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nonnegative UNIMODAL matrix factorization
NONNEGATIVE UNIMODAL MATRIX FACTORIZATION
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IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
作者: Ang, Andersen Man Shun Gillis, Nicolas Vandaele, Arnaud De Sterck, Hans Univ Waterloo Dept Combinator & Optimizat Waterloo ON Canada Univ Mons Dept Math & Operat Res Mons Belgium Univ Waterloo Dept Appl Math Waterloo ON Canada
We introduce a new nonnegative matrix factorization (NMF) model called nonnegative Unimodal matrix factorization (NuMF), which adds on top of NMF the unimodal condition on the columns of the basis matrix. NuMF finds a... 详细信息
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MODEL SELECTION FOR nonnegative matrix factorization BY SUPPORT UNION RECOVERY  44
MODEL SELECTION FOR NONNEGATIVE MATRIX FACTORIZATION BY SUPP...
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44th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
作者: Liu, Zhaoqiang Natl Univ Singapore Dept ECE Singapore Singapore
nonnegative matrix factorization (NMF) has been widely used in machine learning and signal processing because of its non-subtractive, part-based property which enhances interpretability. It is often assumed that the l... 详细信息
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Distant Sound Source Suppression Based on Multichannel nonnegative matrix factorization with Bases Distance Maximization Penalty
Distant Sound Source Suppression Based on Multichannel Nonne...
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International Symposium on Intelligent Signal Processing and Communication Systems (lSPACS)
作者: Takiguchi, Kazuma Kawamura, Arata Iiguni, Youji Osaka Univ Grad Sch Engn Sci Osaka Japan Kyoto Sangyo Univ Info Sci & Engn Kyoto Japan
In this research, we address distant sound source suppression based on Multichannel nonnegative matrix factorization (MNMF), and propose a new penalized method. A conventional method based on MNMF separates an observe... 详细信息
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Two-stage nonnegative matrix factorization in Hyperspectral Un-mixing  19
Two-stage Nonnegative Matrix Factorization in Hyperspectral ...
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5th International Conference on Computing and Data Engineering (ICCDE)
作者: Sun, Li Wu, Jiefang Ye, Xinyao Shandong Agr Univ Coll Informat Sci & Engn Tai An Shandong Peoples R China Taishan Univ Sch Math & Stat Tai An Shandong Peoples R China
nonnegative matrix factorization (NMF) has been applied to hyperspectral un-mixing (HU) due to its simplicity and effectiveness. There are two shortcomings when applying NMF in HU. First, the solution space of NMF is ... 详细信息
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Transfer Learning via Feature Selection Based nonnegative matrix factorization  20th
Transfer Learning via Feature Selection Based Nonnegative Ma...
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20th International Conference on Web Information Systems Engineering (WISE)
作者: Balasubramaniam, Thirunavukarasu Nayak, Richi Yuen, Chau Queensland Univ Technol Brisbane Qld Australia Singapore Univ Technol & Design Singapore Singapore
Transfer learning has been successfully used in recommender systems to deal with the data sparsity problem. Existing techniques assume that the source and target domains share the same feature space. This paper propos... 详细信息
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nonnegative matrix factorization Based Feature Selection Analysis for Hyperspectral Imagery of Sediment-Laden Riverine Flow  10
Nonnegative Matrix Factorization Based Feature Selection Ana...
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Conference on Ocean Sensing and Monitoring X
作者: Scott, Nicholas V. Moore, Ian C. Riverside Res Inst Dayton Res Ctr 2640 Hibiscus Way Dayton OH 45431 USA Xavier Univ Dept Phys Cincinnati OH 45558 USA
nonnegative matrix factorization-based feature selection analysis performed on land based hyperspectral imagery of the Mississippi river identifies ten spectral bands in the visible and near infrared portion of the el... 详细信息
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A Distributed HALS Algorithm for Euclidean Distance-Based nonnegative matrix factorization
A Distributed HALS Algorithm for Euclidean Distance-Based No...
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IEEE Symposium Series on Computational Intelligence (SSCI)
作者: Domen, Yohei Migita, Tsuyoshi Takahashi, Norikazu Okayama Univ Grad Sch Nat Sci & Technol Okayama 7008530 Japan
This paper proposes a distributed algorithm for multiple agents to perform the nonnegative matrix factorization (NMF) based on the Euclidean distance. The matrix to be factorized is partitioned into multiple blocks, a... 详细信息
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NEURAL nonnegative matrix factorization FOR HIERARCHICAL MULTILAYER TOPIC MODELING  8
NEURAL NONNEGATIVE MATRIX FACTORIZATION FOR HIERARCHICAL MUL...
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8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)
作者: Gao, M. Haddock, J. Molitor, D. Needell, D. Sadovnik, E. Will, T. Zhang, R. Univ Calif Irvine Irvine CA 92717 USA Univ Calif Los Angeles Los Angeles CA 90024 USA Michigan State Univ E Lansing MI 48824 USA Peking Univ Beijing Peoples R China
We introduce a method for detecting latent hierarchical structure in data based on nonnegative matrix factorization. Datasets with hierarchical structure arise in a wide variety of fields, such as document classificat... 详细信息
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Low-complexity Proximal Gauss-Newton Algorithm for nonnegative matrix factorization  7
Low-complexity Proximal Gauss-Newton Algorithm for Nonnegati...
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7th IEEE Global Conference on Signal and Information Processing (IEEE GlobalSIP)
作者: Huang, Kejun Fu, Xiao Univ Florida Dept CISE Gainesville FL 32611 USA Oregon State Univ Sch EECS Corvallis OR 97331 USA
In this paper we propose a quasi-Newton algorithm for the celebrated nonnegative matrix factorization (NMF) problem. The proposed algorithm falls into the general framework of Gauss-Newton and Levenberg-Marquardt meth... 详细信息
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HYPERSPECTRAL UNMIXING BASED ON SPARSITY-CONSTRAINED nonnegative matrix factorization WITH ADAPTIVE TOTAL VARIATION  39
HYPERSPECTRAL UNMIXING BASED ON SPARSITY-CONSTRAINED NONNEGA...
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IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
作者: Feng, Xin-Ru Li, Heng-Chao Wang, Rui Southwest Jiaotong Univ Sichuan Prov Key Lab Informat Coding & Transmiss Chengdu 610031 Peoples R China
Hyperspectral unmixing is a critical processing step for many remote sensing applications. nonnegative matrix factorization (NMF) has drawn extensive attention in hyperspectral image analysis recently. Considering tha... 详细信息
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