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检索条件"主题词=Expectation-Maximization algorithms"
270 条 记 录,以下是111-120 订阅
排序:
A genetic expectation-maximization method for unsupervised change detection in multitemporal SAR imagery
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INTERNATIONAL JOURNAL OF REMOTE SENSING 2009年 第24期30卷 6591-6610页
作者: Bazi, Yakoub Melgani, Farid Bruzzone, Lorenzo Vernazza, Gianni Univ Trent Dept Comp Sci & Informat Engn I-38050 Trento Italy Al Jouf Univ Coll Engn Al Jouf 2014 Saudi Arabia Univ Genoa Dept Biophys & Elect Engn I-16145 Genoa Italy
In this paper, we present a novel, automatic and unsupervised change-detection approach to the analysis of single-channel single-polarization multitemporal SAR images. The statistical parameters of the changed and unc... 详细信息
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Diagnostics for skew-normal nonlinear regression models with AR(1) errors
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COMPUTATIONAL STATISTICS & DATA ANALYSIS 2009年 第12期53卷 4403-4416页
作者: Xie, Feng-Chang Lin, Jin-Guan Wei, Bo-Cheng Southeast Univ Dept Math Nanjing 210096 Peoples R China Nanjing Agr Univ Dept Math Nanjing 210095 Peoples R China
In this article, we consider some diagnostics for skew-normal nonlinear regression models with AR(1) errors which provide a useful extension of the normal regression models. The estimation of the parameters in the mod... 详细信息
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Estimating the parameters of the Marshall-Olkin bivariate Weibull distribution by EM algorithm
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COMPUTATIONAL STATISTICS & DATA ANALYSIS 2009年 第4期53卷 956-965页
作者: Kundu, Debasis Dey, Arabin Kumar Indian Inst Technol Dept Math & Stat Kanpur 208016 Uttar Pradesh India
in this paper we consider the Marshall-Olkin bivariate Weibull distribution. The Marshall-Olkin bivariate Weibull distribution is a singular distribution, whose both the marginals are univariate Weibull distributions.... 详细信息
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Robust probabilistic PCA with missing data and contribution analysis for outlier detection
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COMPUTATIONAL STATISTICS & DATA ANALYSIS 2009年 第10期53卷 3706-3716页
作者: Chen, Tao Martin, Elaine Montague, Gary Nanyang Technol Univ Sch Chem & Biomed Engn Singapore 637459 Singapore Univ Newcastle Sch Chem Engn & Adv Mat Newcastle Upon Tyne NE1 7RU Tyne & Wear England
Principal component analysis (PCA) is a widely adopted multivariate data analysis technique, with interpretation being established on the basis of both classical linear projection and a probability model (i.e. probabi... 详细信息
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Mixture modeling with applications in schizophrenia research
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COMPUTATIONAL STATISTICS & DATA ANALYSIS 2009年 第7期53卷 2563-2572页
作者: Wu, Qiang Sampson, Allan R. E Carolina Univ Dept Biostat Greenville NC 27858 USA Univ Pittsburgh Dept Stat Pittsburgh PA 15260 USA
Finite mixture modeling, together with the EM algorithm, have been widely used in clustering analysis. Under such methods, the unknown group membership is usually treated as missing data. When the "complete data&... 详细信息
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Online updating appearance generative mixture model for meanshift tracking
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MACHINE VISION AND APPLICATIONS 2009年 第3期20卷 163-173页
作者: Tu, Jilin Tao, Hai Huang, Thomas Univ Illinois Urbana & Champaign Dept Elect & Comp Engn Urbana IL 61801 USA Univ Calif Santa Cruz Dept Comp Engn Santa Cruz CA 95064 USA
This paper proposes an appearance generative mixture model based on key frames for meanshift tracking. Meanshift tracking algorithm tracks an object by maximizing the similarity between the histogram in tracking windo... 详细信息
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A note on the exponential Poisson distribution: A nested EM algorithm
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COMPUTATIONAL STATISTICS & DATA ANALYSIS 2009年 第4期53卷 894-899页
作者: Karlis, Dimitris Athens Univ Econ & Business Dept Stat Athens 10434 Greece
An EM type algorithm for estimating the parameters of the exponential Poisson distribution has recently been proposed. This algorithm uses a Newton Raphson approach at the M-step. An alternative approach, where the Ne... 详细信息
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New global optimization algorithms for model-based clustering
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COMPUTATIONAL STATISTICS & DATA ANALYSIS 2009年 第12期53卷 3999-4017页
作者: Heath, Jeffrey W. Fu, Michael C. Jank, Wolfgang Univ Maryland Robert H Smith Sch Business College Pk MD 20742 USA Ctr Coll Danville Dept Math Danville KY 40422 USA
The expectation-maximization (EM) algorithm is a very popular optimization tool for mixture problems and in particular for model-based clustering problems. However, while the algorithm is convenient to implement and n... 详细信息
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Fast estimation of spatially dependent temporal vegetation trends using Gaussian Markov random fields
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COMPUTATIONAL STATISTICS & DATA ANALYSIS 2009年 第8期53卷 2885-2896页
作者: Bolin, David Lindstroem, Johan Eklundh, Lars Lindgren, Finn Lund Univ Ctr Math Sci SE-22100 Lund Sweden Lund Univ Dept Phys Geog & Ecosyst Anal GeoBiosphere Sci Ctr SE-22100 Lund Sweden
There is a need for efficient methods for estimating trends in spatio-temporal Earth Observation data. A suitable model for such data is a space-varying regression model, where the regression coefficients for the spat... 详细信息
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Maximum likelihood estimation in vector long memory processes via EM algorithm
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COMPUTATIONAL STATISTICS & DATA ANALYSIS 2009年 第12期53卷 4133-4142页
作者: Pai, Jeffrey Ravishanker, Nalini Univ Connecticut Dept Stat Storrs CT 06269 USA Univ Manitoba Warren Ctr Actuarial Studies & Res Winnipeg MB R3T 5V4 Canada
We present an approach for exact maximum likelihood estimation of parameters from univariate and multivariate autoregressive fractionally integrated moving average models with Gaussian errors using the expectation Max... 详细信息
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