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检索条件"主题词=Expectation Maximization Algorithm"
643 条 记 录,以下是631-640 订阅
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Empirical studies of cross-reference maximum likelihood estimate reconstruction for positron emission tomography
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Biomedical Engineering - Applications, Basis and Communications 2001年 第1期13卷 1-7页
作者: Tu, K.-Y. Chen, T.-B. Lu, H.H.-S. Liu, R.-S. Chou, K.-L. Chen, C.-M. Chen, J.-C. Institute of Radiological Sciences National Yang-Ming University Taipei No.155 Li-Nong St. Sec. 2 Taiwan
Positron emission tomography (PET) can reveal subtle metabolic process, which is an important modality for diagnosis. However, spatial resolution of PET images is not as good as computed tomography (CT) or magnetic re... 详细信息
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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
Probabilistic modeling and recognition of 3-D objects
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INTERNATIONAL JOURNAL OF COMPUTER VISION 2000年 第3期39卷 229-251页
作者: Hornegger, J Niemann, H Univ Erlangen Nurnberg Lehrstuhl Mustererkennung Informat 5 D-91058 Erlangen Germany
This paper introduces a uniform statistical framework for both 3-D and 2-D object recognition using intensity images as input data. The theoretical part provides a mathematical tool for stochastic modeling. The algori... 详细信息
来源: 评论
Robust EM algorithms for Markov modulated Poisson processes
Robust EM algorithms for Markov modulated Poisson processes
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39th IEEE Conference on Decision and Control
作者: Elliott, RJ Malcolm, WP Univ Alberta Dept Math Sci Edmonton AB T6G 21 Canada
In this article we consider robust filtering and smoothing for Markov Modulated Poisson Processes (MMPPs). Using the EM algorithm, these filters and smoothers can be applied to estimate the parameters of our model. Ou... 详细信息
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Exact filters for certain moments and stochastic integrals of the state of systems with Benes nonlinearity
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IEEE TRANSACTIONS ON AUTOMATIC CONTROL 1999年 第10期44卷 1929-1933页
作者: Elliott, RJ Krishnamurthy, V Poor, HV Univ Alberta Dept Math Sci Edmonton AB T6G 2G1 Canada Univ Melbourne Dept Elect & Elect Engn Parkville Vic 3052 Australia Princeton Univ Dept Elect Engn Princeton NJ 08544 USA
Finite-dimensional filters for integrals and stochastic integrals of moments of the state for continuous-time nonlinear systems with Benes nonlinearity are derived. These new filters can be used with the expectation m... 详细信息
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New finite-dimensional filters for parameter estimation of discrete-time linear Gaussian models
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IEEE TRANSACTIONS ON AUTOMATIC CONTROL 1999年 第5期44卷 938-951页
作者: Elliott, RJ Krishnamurthy, V Univ Alberta Dept Math Sci Edmonton AB T6G 2G1 Canada Univ Melbourne Dept Elect & Elect Engn Parkville Vic 3052 Australia
In this paper the authors derive a new class of finite-dimensional recursive filters for linear dynamical systems. The Kalman filter is a special case of their general filter. Apart from being of mathematical interest... 详细信息
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Neural networks for predicting conditional probability densities: Improved training scheme combining EM and RVFL
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NEURAL NETWORKS 1998年 第1期11卷 89-116页
作者: Husmeier, D Taylor, JG Univ London Kings Coll Dept Math London WC2R 2LS England
Predicting conditional probability densities with neural networks requires complex (at least two-hidden-layer) architectures, which normally leads to rather long training times. By adopting the RVFL concept and constr... 详细信息
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Exact finite-dimensional filters for maximum likelihood parameter estimation of continuous-time linear Gaussian systems
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SIAM JOURNAL ON CONTROL AND OPTIMIZATION 1997年 第6期35卷 1908-1923页
作者: Elliott, RJ Krishnamurthy, V UNIV MELBOURNE DEPT ELECT & ELECT ENGNPARKVILLEVIC 3052AUSTRALIA
In this paper, we derive a new class of finite-dimensional filters for integrals and stochastic integrals of moments of the state for continuous-time linear Gaussian systems. Apart from being of significant mathematic... 详细信息
来源: 评论
Estimation of 1-bit quantized time-series with Markov regime
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SIGNAL PROCESSING 1997年 第3期58卷 273-292页
作者: Logothetis, A Krishnamurthy, V Poor, HV PRINCETON UNIV DEPT ELECT ENGNPRINCETONNJ 08544
In this paper we consider de-interleaving a finite number of stochastic parametric sources. The sources are modeled as independent autoregressive (AR) processes. Based on a Markovian switching policy, we assume that t... 详细信息
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Time discretization of continuous-time filters and smoothers for HMM parameter estimation
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IEEE TRANSACTIONS ON INFORMATION THEORY 1996年 第2期42卷 593-605页
作者: James, MR Krishnamurthy, V LeGland, F UNIV MELBOURNE DEPT ELECT & ELECTR ENGNPARKVILLEVIC 3052AUSTRALIA INST NATL RECH INFORMAT & AUTOMAT INST RECH INFORMAT & SYST ALEATOIRESF-35042 RENNESFRANCE
In this paper we propose algorithms for parameter estimation of fast-sampled homogeneous Markov chains observed in white Gaussian noise. Our algorithms are obtained by the robust discretization of stochastic different... 详细信息
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