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检索条件"主题词=expectation-maximisation algorithm"
495 条 记 录,以下是411-420 订阅
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Learning Marked Markov Modulated Poisson Processes for Online Predictive Analysis of Attack Scenarios
Learning Marked Markov Modulated Poisson Processes for Onlin...
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International Symposium on Software Reliability Engineering (ISSRE)
作者: Laura Carnevali Francesco Santoni Enrico Vicario Department of Information Engineering University of Florence Firenze Italy
Runtime predictive analysis of quantitative models can support software reliability in various application scenarios. The spread of logging technologies promotes approaches where such models are learned from observed ... 详细信息
来源: 评论
A Hierarchical Bayesian Markovian Model for Motifs in Biopolymer Sequences  02
A Hierarchical Bayesian Markovian Model for Motifs in Biopol...
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Annual Conference on Neural Information Processing Systems
作者: Eric P. Xing Michael I. Jordan Richard M. Karp Stuart Russell Computer Science Division University of California Berkeley Berkeley CA 94720
We propose a dynamic Bayesian model for motifs in biopolymer sequences which captures rich biological prior knowledge and positional dependencies in motif structure in a principled way. Our model posits that the posit... 详细信息
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REM-Seg: A Robust EM algorithm for Parallel Segmentation and Registration of Point Clouds
REM-Seg: A Robust EM Algorithm for Parallel Segmentation and...
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IEEE/RSJ International Conference on Intelligent Robots and Systems
作者: Benjamin Eckart Alonzo Kelly Robotics Institute Carnegie Mellon University Pittsburgh PA USA
For purposes of real-time 3D sensing, it is important to be able to quickly register together incoming point cloud data. In this paper, we devise a method to quickly and robustly decompose large point clouds into a re... 详细信息
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Strategies to Improve Direct EM Patlak Reconstructions
Strategies to Improve Direct EM Patlak Reconstructions
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IEEE Nuclear Science Symposium
作者: Jean-Dominique Gallezot Yihuan Lu Kathryn Fontaine Chi Liu Richard E. Carson Department of Radiology and Biomedical Imaging Yale University
Direct expectation-Maximization (EM) reconstruction of parametric images from PET data has been proposed, to take advantage of the known Poisson character of raw PET data. However, direct reconstruction algorithms are... 详细信息
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A Scenario-based Approach to Parameter Estimation in State-Space Models having Quantized Output Data
A Scenario-based Approach to Parameter Estimation in State-S...
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2010 49th IEEE Conference on Decision and Control
作者: Damian E. Marelli Boris I. Godoy Graham C. Goodwin ARC Centre of Excellence for Complex Dynamic Systems and Control The University of Newcastle Australia
In this paper we describe an algorithm for estimating the parameters of a linear, discrete-time system, in state-space form, having quantized measurements. The estimation is carried out using the maximum likelihood cr... 详细信息
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algorithmic modelling of structural connectivity for process plants
Algorithmic modelling of structural connectivity for process...
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American Control Conference
作者: Temitayo Bankole Debangsu Bhattacharyya Department of Chemical Engineering West Virginia University Morgantown 26506 USA
In this paper, we propose a new systematic methodology to identify dynamic changes in the connectivity among various equipment items in a process plant. Drawing analogy to neurological systems, the paper develops a fr... 详细信息
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Regularized EM algorithms: A Unified Framework and Statistical Guarantees  15
Regularized EM Algorithms: A Unified Framework and Statistic...
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Annual Conference on Neural Information Processing Systems
作者: Xinyang Yi Constantine Caramanis Dept. of Electrical and Computer Engineering The University of Texas at Austin
Latent models are a fundamental modeling tool in machine learning applications, but they present significant computational and analytical challenges. The popular EM algorithm and its variants, is a much used algorithm... 详细信息
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NOISE ROBUST SPEECH DEREVERBERATION WITH KALMAN SMOOTHER
NOISE ROBUST SPEECH DEREVERBERATION WITH KALMAN SMOOTHER
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IEEE International Conference on Acoustics, Speech, and Signal Processing
作者: Masahito Togami Yohei Kawaguchi Central Research Laboratory Hitachi Ltd. 1-280 Higashi-koigakubo Kokubunji-shi Tokyo 185-8601 Japan
A speech dereverberation method is proposed that is robust against background noise. In contrast to conventional methods based on the linear prediction of the given microphone input signal, in which the linear predict... 详细信息
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Visual Tracking Based on 3D Probabilistic Reconstruction
Visual Tracking Based on 3D Probabilistic Reconstruction
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Annual IEEE International Conference on Engineering of Computer Based Systems
作者: Gisele Simas Rodrigo de Bern Lucas Novelo Guilherme Fickel Silvia Botelho Centro de Ciencias Computacionais - C3 Universidade Federal do Rio Grande - FURG
This paper presents an approach to the 3D visual tracking problem into multi-camera environments. This proposal executes the markerless visual tracking observing the environment through a model based in a volumetric r... 详细信息
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A Signal Processing Technique for Compensating Random Drift of MEMS Gyros
A Signal Processing Technique for Compensating Random Drift ...
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2014中国制导、导航与控制学术会议
作者: Jieyu Liu Qiang Shen Weiwei Qin Department of Automatic Control Xi''an Research Institute of High-techXi''anShannxi Province710025China
In this paper,we present a prediction and compensation method for Micro-Electro-Mechanical System (MEMS) gyroscope random drift,which is based on relevance vector *** relevance vector machine (RVM) model is establishe... 详细信息
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