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检索条件"主题词=sparse nonnegative matrix factorization"
18 条 记 录,以下是1-10 订阅
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sparse nonnegative matrix factorization Based on a Hyperbolic Tangent Approximation of L0-Norm and Neurodynamic Optimization  12
Sparse Nonnegative Matrix Factorization Based on a Hyperboli...
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12th International Conference on Advanced Computational Intelligence (ICACI)
作者: Li, Xinqi Wang, Jun Kwong, Sam City Univ Hong Kong Dept Comp Sci Kowloon Hong Kong Peoples R China City Univ Hong Kong Shenzhen Res Institude Shenzhen Peoples R China
sparse nonnegative matrix factorization (SNMF) attracts much attention in the past two decades because its sparse and part-based representations are desirable in many machine learning applications. Due to the combinat... 详细信息
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sparse nonnegative matrix factorization Based on Collaborative Neurodynamic Optimization  9
Sparse Nonnegative Matrix Factorization Based on Collaborati...
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9th International Conference on Information Science and Technology (ICIST)
作者: Che, Hangjun Wang, Jun City Univ Hong Kong Dept Comp Sci Hong Kong Peoples R China City Univ Hong Kong Shenzhen Res Inst Shenzhen Hong Kong Peoples R China City Univ Hong Kong Sch Data Sci Hong Kong Peoples R China
This paper presents a collaborative neurodynamic approach to sparse nonnegative matrix factorization (SNMF). SNMF is formulated as a bilevel optimization problem. In the lower level of the problem, the sparsity of fac... 详细信息
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Band selection using sparse nonnegative matrix factorization with the thresholded Earth's mover distance for hyperspectral imagery classification
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EARTH SCIENCE INFORMATICS 2015年 第4期8卷 907-918页
作者: Sun, Weiwei Li, Weiyue Li, Jialin Lai, Yenming Mark Ningbo Univ Coll Architectural Engn Civil Engn & Environm Ningbo 315211 Zhejiang Peoples R China Shanghai Normal Univ Inst Urban Dev Shanghai 200234 Peoples R China Univ Texas Austin Inst Computat Engn & Sci Austin TX 78712 USA
A sparse nonnegative matrix factorization method with the thresholded ground distance (SNMF-TEMD) is proposed to solve the band selection problem in hyperspectral imagery (HSI) classification. The SNMF-TEMD assumes th... 详细信息
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Data Classification with Ensembles of One-Class Support Vector Machines and sparse nonnegative matrix factorization  7
Data Classification with Ensembles of One-Class Support Vect...
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7th Asian Conference on Intelligent Information and Database Systems (ACIIDS)
作者: Cyganek, Boguslaw Krawczyk, Bartosz AGH Univ Sci & Technol Al Mickiewicza 30 PL-30059 Krakow Poland Wroclaw Univ Technol PL-50370 Wroclaw Poland
The paper presents a method for data classification with ensemble of one-class classifiers based on data segmentation. Each data class is partitioned with the nonnegative matrix factorization (NMF) algorithm with spar... 详细信息
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ADAPTIVE ENDMEMBER EXTRACTION BASED sparse nonnegative matrix factorization WITH SPATIAL LOCAL INFORMATION
ADAPTIVE ENDMEMBER EXTRACTION BASED SPARSE NONNEGATIVE MATRI...
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IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
作者: Li, Huali Li, Shutao Zhang, Liangpei Hunan Univ Coll Elect & Informat Engn Changsha 410082 Hunan Peoples R China Wuhan Univ State Key Lab Informat Engn Surveying Mapping & R Wuhan Peoples R China
Hyperspectral Unmixing aims at getting the endmember signature and their corresponding abundance maps from highly mixed Hyperspectral image. nonnegative matrix factorization (NMF) is a widely used method for spectral ... 详细信息
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ADAPTIVE ENDMEMBER EXTRACTION BASED sparse nonnegative matrix factorization WITH SPATIAL LOCAL INFORMATION
ADAPTIVE ENDMEMBER EXTRACTION BASED SPARSE NONNEGATIVE MATRI...
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IEEE International Geoscience and Remote Sensing Symposium
作者: Huali Li Shutao Li Liangpei Zhang Coll. of Electr. & Inf. Eng. Hunan Univ. Changsha China
Hyperspectral Unmixing aims at getting the endmember signature and their corresponding abundance maps from highly mixed Hyperspectral image. nonnegative matrix factorization (NMF) is a widely used method for spectral ... 详细信息
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Ultrasound image analysis technology under deep belief networks in evaluation on the effects of diagnosis and chemotherapy of cervical cancer
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JOURNAL OF SUPERCOMPUTING 2021年 第4期77卷 4151-4171页
作者: Zhou, Hongzhen Wang, Shuyuan Zhang, Tao Liu, Demei Yang, Kevin Linyi Canc Hosp Dept Ultrasound Linyi 276000 Shandong Peoples R China Linyi Luozhuang Cent Hosp Dept Ultrasound Linyi 276017 Shandong Peoples R China Linyi Canc Hosp Dept Gynecol Oncol 1 Linyi 276000 Shandong Peoples R China Imperial Coll London London SW7 2AZ England
The purpose of this study was to explore the value of extraction of tumor features in contrast-enhanced ultrasonography (CEUS) images based on the deep belief networks (DBN) for the diagnosis of cervical cancer patien... 详细信息
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sparse NMF with archetypal regularization: computational and robustness properties
The Journal of Machine Learning Research
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The Journal of Machine Learning Research 2024年 第1期25卷 1726-1787页
作者: Kayhan Behdin Rahul Mazumder Operations Research Center Massachusetts Institute of Technology Cambridge MA MIT Sloan School of Management and Operations Research Center Massachusetts Institute of Technology Cambridge MA
We consider the problem of sparse nonnegative matrix factorization (NMF) using archetypal regularization. The goal is to represent a collection of data points as nonnegative linear combinations of a few nonnegative sp... 详细信息
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Evaluation of sparsity metrics and evolutionary algorithms applied for normalization of H&E histological images
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PATTERN ANALYSIS AND APPLICATIONS 2024年 第1期27卷 11-11页
作者: Tosta, Thaina A. Azevedo de Faria, Paulo Rogerio Neves, Leandro Alves Martins, Alessandro Santana Kaushal, Chetna do Nascimento, Marcelo Zanchetta Univ Fed Sao Paulo Inst Sci & Technol Ave Cesare Mansueto Giulio Lattes 1201 BR-12247014 Sao Jose Dos Campos SP Brazil Univ Fed Uberlandia Inst Biomed Sci Dept Histol & Morphol Ave Amazonas S-N BR-38405320 Uberlandia MG Brazil Sao Paulo State Univ Dept Comp Sci & Stat R Cristovao Colombo 2265 BR-15054000 Sao Jose Do Rio Preto SP Brazil Fed Inst Triangulo Mineiro R Belarmino Vilela Junqueira S-N BR-38305200 Ituiutaba MG Brazil Chitkara Univ Chitkara Univ Inst Engn & Technol Rajpura 140401 Punjab India Univ Fed Uberlandia Fac Comp Ave Joao Naves de Avila 2121 BR-38400902 Uberlandia MG Brazil
Color variations in H&E histological images can impact the segmentation and classification stages of computational systems used for cancer diagnosis. To address these variations, normalization techniques can be ap... 详细信息
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Multi-target ensemble learning based speech enhancement with temporal-spectral structured target
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APPLIED ACOUSTICS 2023年 第1期205卷
作者: Wang, Wenbo Guo, Weiwei Liu, Houguang Yang, Jianhua Liu, Songyong China Univ Min & Technol Sch Mechatron Engn Xuzhou 221116 Peoples R China Chinese Peoples Liberat Army Gen Hosp Coll Otolaryngol Head & Neck Surg Beijing 100853 Peoples R China Natl Clin Res Ctr Otolaryngol Dis Beijing 100853 Peoples R China Minist Educ Key Lab Hearing Sci Beijing 100853 Peoples R China
Recently, deep neural network (DNN)-based speech enhancement has shown considerable success, and mapping-based and masking-based are the two most commonly used methods. However, these methods do not consider the spect... 详细信息
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