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检索条件"主题词=expectation maximization algorithm"
643 条 记 录,以下是441-450 订阅
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Two-Dimensional Off-Grid DOA Estimation Based on Sparse Bayesian Learning  12
Two-Dimensional Off-Grid DOA Estimation Based on Sparse Baye...
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12th IEEE Asia-Pacific Conference on Antennas and Propagation, APCAP 2024
作者: Qin, Jiale Gui, Shuliang Tian, Zengshan Xiao, Ke Tian, Haitao Chongqing University of Posts and Telecommunications Chongqing400065 China Guangdong Institute of Electronic Information Engineering University of Electronic Science and Technology of China dongguan523000 China
In this paper, a two-dimensional off-grid direction of arrival (DOA) estimation strategy based on sparse Bayesian learning (SBL) is proposed for improving the two-dimensional DOA estimation accuracy of millimeter-wave... 详细信息
来源: 评论
Accurate Delayed Source Model for Multi-Frame Full-Rank Spatial Covariance Analysis  18
Accurate Delayed Source Model for Multi-Frame Full-Rank Spat...
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18th International Workshop on Acoustic Signal Enhancement, IWAENC 2024
作者: Furunaga, Shinya Sawada, Hiroshi Ikeshita, Rintaro Nakatani, Tomohiro Makino, Shoji Waseda University 2-7 Hibikino Wakamatsu-ku Kitakyushu Fukuoka808-0135 Japan Ntt Corporation 2-4 Hikaridai Seika-cho Soraku-gun Kyoto619-0237 Japan
Multi-frame Full-rank Spatial Covariance Analysis (mfFCA) is a technique for a blind source separation method and can be applied to reverberant underdetermined conditions where the sources outnumber the microphones an... 详细信息
来源: 评论
Accelerating the convergence of EM-based training algorithms for RBF networks
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6th International Work-Conference on Artificial and Natural Neural Networks, IWANN 2001
作者: Lázaro, Marcelino Santamaría, Ignacio Pantaleón, Carlos Dpto. Ing. Comunieaciones ETSII v Telecom Universidad de Cantabria Avda Los Castros 39005 Santander Spain
In this paper, we propose a new expectation-maximization (EM) algorithm which speeds up the training of feedforward networks with local activation functions such as the Radial Basis Function (RBF) nctw ork. The core o... 详细信息
来源: 评论
Unsupervised ensemble learning for genome sequencing
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PATTERN RECOGNITION 2022年 129卷
作者: Pages-Zamora, Alba Ochoa, Idoia Cavero, Gonzalo Ruiz Villalvilla-Ornat, Pol Univ Politecn Catalunya BarcelonaTech UPC SPCOM Grp C-Jordi Girona 31 Barcelona 08034 Spain Univ Navarra Tecnun Manuel Lardizabal 13 San Sebastian 20018 Spain Swiss Fed Inst Technol Erdbeobachtung u Fernerkundung HCP G 33-1Leopold Ruzicka Weg 4 CH-8093 Zurich Switzerland
Unsupervised ensemble learning refers to methods devised for a particular task that combine data pro-vided by decision learners taking into account their reliability, which is usually inferred from the data. Here, the... 详细信息
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A novel Mixture Model Method for identification of differentially expressed genes from DNA microarray data
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BMC BIOINFORMATICS 2004年 第1期5卷 201-201页
作者: Najarian, K Zaheri, M Rad, AA Najarian, S Dargahi, J Univ N Carolina Dept Comp Sci Charlotte NC 28223 USA Amirkabir Univ Technol Comp Engn & IT Dept Tehran Iran Concordia Univ CONCAVE Res Ctr Dept Mech & Ind Engn Quebec City PQ Canada
Background: The main goal in analyzing microarray data is to determine the genes that are differentially expressed across two types of tissue samples or samples obtained under two experimental conditions. Mixture mode... 详细信息
来源: 评论
Adaptive quantile low-rank matrix factorization
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PATTERN RECOGNITION 2020年 103卷 107310-107310页
作者: Xu, Shuang Zhang, Chun-Xia Zhang, Jiangshe Xi An Jiao Tong Univ Sch Math & Stat Xian 710049 Shaanxi Peoples R China
Low-rank matrix factorization (LRMF) has received much popularity owing to its successful applications in both computer vision and data mining. By assuming noise to come from a Gaussian, Laplace or mixture of Gaussian... 详细信息
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Effect of false positive and false negative rates on inference of binding target conservation across different conditions and species from ChIP-chip data
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BMC BIOINFORMATICS 2009年 第1期10卷 23-23页
作者: Datta, Debayan Zhao, Hongyu Yale Univ Dept Biomed Engn New Haven CT 06520 USA Yale Univ Dept Epidemiol & Publ Hlth New Haven CT 06520 USA Yale Univ Dept Genet New Haven CT 06520 USA
Background: ChIP-chip data are routinely used to identify transcription factor binding targets. However, the presence of false positives and false negatives in ChIP-chip data complicates and hinders analyses, especial... 详细信息
来源: 评论
caBIG™ VISDA: Modeling, visualization, and discovery for cluster analysis of genomic data
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BMC BIOINFORMATICS 2008年 第1期9卷 1-18页
作者: Zhu, Yitan Li, Huai Miller, David J. Wang, Zuyi Xuan, Jianhua Clarke, Robert Hoffman, Eric P. Wang, Yue Virginia Polytech Inst & State Univ Dept Elect & Comp Engn Arlington VA 22203 USA NIA Bioinformat Unit RRB NIH Baltimore MD 21224 USA Penn State Univ Dept Elect Engn University Pk PA 16802 USA Childrens Natl Med Ctr Med Genet Res Ctr Washington DC 20010 USA Georgetown Univ Dept Oncol Physiol & Biophys Washington DC 20007 USA Georgetown Univ Lombardi Comprehens Canc Ctr Washington DC 20007 USA
Background: The main limitations of most existing clustering methods used in genomic data analysis include heuristic or random algorithm initialization, the potential of finding poor local optima, the lack of cluster ... 详细信息
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A common random effect induced bivariate gamma degradation process with application to remaining useful life prediction
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RELIABILITY ENGINEERING & SYSTEM SAFETY 2022年 第0期219卷 108200-108200页
作者: Song, Kai Cui, Lirong Beijing Inst Technol Sch Management & Econ Beijing Peoples R China Qingdao Univ Coll Qual & Standardizat Qingdao Peoples R China
Due to the complex structures and the multi-functionality of modern products, there are usually two or more performance characteristics which can reflect a product's degradation states. The degradation processes c... 详细信息
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Point set registration via rigid transformation consensus
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COMPUTERS & ELECTRICAL ENGINEERING 2022年 101卷
作者: Li, Zhaolong Wang, Cheng Ma, Jieying Li, Zhongyu Zhu, Jihua Xi An Jiao Tong Univ Sch Software Engn Xi'an 710049 Peoples R China State Key Lab Rail Transit Engn Informatizat FSDI Xi'an 710043 Peoples R China
Point set registration is a fundamental problem in many domains. This paper proposes a novel pair-wise registration algorithm based on the rigid transformation consensus. It starts by building a point correspondence s... 详细信息
来源: 评论