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检索条件"主题词=Expectation-Maximization algorithms"
270 条 记 录,以下是51-60 订阅
排序:
A GAMP-Based Low Complexity Sparse Bayesian Learning Algorithm
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IEEE TRANSACTIONS ON SIGNAL PROCESSING 2018年 第2期66卷 294-308页
作者: Al-Shoukairi, Maher Schniter, Philip Rao, Bhaskar D. Univ Calif San Diego Dept Elect & Comp Engn San Diego CA 92093 USA Ohio State Univ Dept Elect & Comp Engn Columbus OH 43210 USA
In this paper, we present an algorithm for the sparse signal recovery problem that incorporates damped Gaussian generalized approximate message passing (GGAMP) into expectation-maximization-based sparse Bayesian learn... 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
来源: 评论
Image Denoising Based on Dilated Singularity Prior
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MATHEMATICAL PROBLEMS IN ENGINEERING 2012年 第1期2012卷 1-15页
作者: Hu, Shaoxiang Liao, Zhiwu Chen, Wufan Univ Elect Sci & Technol China Sch Automat Engn Chengdu 610054 Peoples R China Sichuan Normal Univ Visual Comp & Virtual Real Key Lab Sichuan Prov Chengdu 610066 Peoples R China
In order to preserve singularities in denoising, we propose a new scheme by adding dilated singularity prior to noisy images. The singularities are detected by canny operator firstly and then dilated using mathematica... 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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Estimation of propagation channel parameters using multi-dimensional hybrid-space SAGE algorithm
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IET MICROWAVES ANTENNAS & PROPAGATION 2007年 第6期1卷 1212-1222页
作者: Tan, C. M. Beach, M. A. BT Grp Plc Chief Architect Off Kuala Lumpur 50470 Malaysia Univ Bristol Ctr Commun Res Bristol BS8 1UB Avon England
To-date, most multipath propagation parameters are estimated in the element-space domain due to implementation simplicity. Although estimation in the beam-space domain can reduce both the dimensionality of the data si... 详细信息
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EM-Based Iterative Receivers for OFDM and BICM/OFDM Systems in Doubly Selective Channels
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IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS 2011年 第5期10卷 1405-1415页
作者: Ku, Meng-Lin Chen, Wen-Chuan Huang, Chia-Chi Natl Cent Univ Dept Commun Engn Tao Yuan 320 Taiwan Inst Informat Ind Taipei 106 Taiwan Natl Chiao Tung Univ Dept Elect Engn Hsinchu 300 Taiwan
In this paper, we resort to the expectation-maximization (EM) algorithm to tackle the inter-carrier interference (ICI) problem, caused by time-variant multipath channels, for both orthogonal frequency division multipl... 详细信息
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Mixture Semisupervised Bayesian Principal Component Regression for Soft Sensor Modeling
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IEEE ACCESS 2018年 6卷 40909-40919页
作者: Zhu, Pengbo Liu, Xin Wang, Yanbo Yang, Xianqiang Harbin Inst Technol Res Inst Intelligent Control & Syst Harbin 150080 Heilongjiang Peoples R China
In this paper, a mixture semisupervised Bayesian principal component regression-based soft sensor modeling method for nonlinear industrial process with multiple operating modes is presented. In many chemistry processe... 详细信息
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The Path Inference Filter: Model-Based Low-Latency Map Matching of Probe Vehicle Data
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IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS 2014年 第2期15卷 507-529页
作者: Hunter, Timothy Abbeel, Pieter Bayen, Alexandre Univ Calif Berkeley Coll Engn Dept Elect Engn & Comp Sci Berkeley CA 94720 USA
We consider the problem of reconstructing vehicle trajectories from sparse sequences of GPS points, for which the sampling interval is between 1 s and 2 min. We introduce a new class of algorithms, which are altogethe... 详细信息
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