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检索条件"主题词=Expectation-maximization algorithms"
270 条 记 录,以下是161-170 订阅
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Modeling sensorimotor learning with linear dynamical systems
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NEURAL COMPUTATION 2006年 第4期18卷 760-793页
作者: Cheng, S Sabes, PN Univ Calif San Francisco Sloan Swartz Ctr Theoret Neurobiol WM Keck Fdn Ctr Integrat Neurosci San Francisco CA 94143 USA Univ Calif San Francisco Dept Physiol San Francisco CA 94143 USA
Recent studies have employed simple linear dynamical systems to model trial-by-trial dynamics in various sensorimotor learning tasks. Here we explore the theoretical and practical considerations that arise when employ... 详细信息
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A Region-Based Image Fusion Method Using the expectation-maximization Algorithm
A Region-Based Image Fusion Method Using the Expectation-Max...
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Annual Conference on Information Sciences and Systems (CISS)
作者: Jinzhong Yang Rick S. Blum ECE Department Lehigh University Bethlehem PA USA
We present a novel region-based image fusion method using a rigorous application of estimation theory. This method takes advantage of the similar intensity or texture in a region for fusion. A statistical image format... 详细信息
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On Ryde/spl acute/n's EM algorithm for estimating MMPPs
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IEEE Signal Processing Letters 2006年 第6期13卷 373-376页
作者: W.J.J. Roberts Y. Ephraim E. Dieguez Atlantic Coast Technologies Inc. Silver Spring MD USA Department of Electrical and Computer Engineering George Mason University Fairfax VA USA
Two aspects of Ryden's expectation-maximization algorithm for estimating the parameter of a Markov modulated Poisson process are addressed. First, a scaling procedure is developed for the forward-backward recursio... 详细信息
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A Probabilistic Ensemble Pruning Algorithm
A Probabilistic Ensemble Pruning Algorithm
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IEEE International Conference on Data Mining Workshops (ICDM Workshops)
作者: Huanhuan Chen Peter Tino Xin Yao School of Computer Science University of Binningham Birmingham UK
An ensemble is a group of learners that work together as a committee to solve a problem. However, the existing ensemble training algorithms sometimes generate unnecessary large ensembles, which consume extra computati... 详细信息
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A Novel Model-based Method for Feature Extraction from Protein Sequences for Classification
A Novel Model-based Method for Feature Extraction from Prote...
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IEEE Signal Processing and Communications Applications (SIU)
作者: Sarac Atalay Bilgisayar Mühendisliği Bölümü Orta Doğu Teknik Üniversitesi Ankara Turkey
Representation of amino-acid sequences constitutes the key point in classification of proteins into functional or structural classes. The representation should contain the biologically meaningful information hidden in... 详细信息
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Iterative Synchronization: EM Algorithm Versus Newton-Raphson Method
Iterative Synchronization: EM Algorithm Versus Newton-Raphso...
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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
作者: C. Herzet X. Wautelet V. Ramon L. Vandendorpe Communications Laboratory Université catholique de Louvain Louvain-la-Neuve Belgium
This paper deals with iterative maximum-likelihood synchronization of a scalar parameter. An efficient implementation of the Newton-Raphson (NR) maximum-search method is proposed. Considering the latter implementation... 详细信息
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Unsupervised Image Layout Extraction
Unsupervised Image Layout Extraction
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IEEE International Conference on Image Processing
作者: David Liu Datong Chen Tsuhan Chen Department of Electrical and Computer Engineering School of Computer Science Carnegie Mellon University Pittsburgh USA
We propose a novel unsupervised learning algorithm to extract the layout of an image by learning latent object-related aspects. Unlike traditional image segmentation algorithms that segment an image using feature simi... 详细信息
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Quantitative Stochastic Analysis of Magnetic Resonance Images of the Brain
Quantitative Stochastic Analysis of Magnetic Resonance Image...
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International Conference on Information and Communication Technologies: From Theory to Applications, ICTTA
作者: M. Rouainia N. Doghmane LAS laboratory Skikda university Algeria LAMA Laboratory Badji Mokhtar University Annaba Algeria
The aim of our work is to perform an automated tool for brain MRI tissues quantification. The method we develop is based on MRI intensity stochastic analysis. By the use of the Gaussian mixture model for these intensi... 详细信息
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Probabilistic Image-Based Rendering with Gaussian Mixture Model
Probabilistic Image-Based Rendering with Gaussian Mixture Mo...
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International Conference on Pattern Recognition
作者: Wenfeng Li Baoxin Li Department of Computer Science & Engineering Arizona State University Tempe AZ USA
One major challenge in traditional image-based rendering is 3D scene reconstruction by estimating accurate dense depth map, which suffers from the ambiguities in textureless or periodically textured regions. Alternati... 详细信息
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Acoustic Model Adaptation Based on Coarse/Fine Training of Transfer Vectors Using Directional Statistics
Acoustic Model Adaptation Based on Coarse/Fine Training of T...
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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
作者: S. Watanabe A. Nakamura NTT Communication Science Laboratories NTT Corporation Japan
In this paper, we reformulate an adaptation scheme of coarse/fine training (CFT) of transfer vectors in acoustic modeling by using directional statistics. In CFT, the transfer vector is decomposed into a unit directio... 详细信息
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