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检索条件"主题词=Expectation-Maximization Algorithm"
628 条 记 录,以下是551-560 订阅
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Vehicle image classification via expectation-maximization algorithm
Vehicle image classification via expectation-maximization al...
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IEEE International Symposium on Circuits and Systems
作者: Pumrin, S Dailey, DJ Chulalongkorn Univ Dept Elect Engn Bangkok 10330 Thailand
In this paper, we present a statistical method to extract images. of passenger cars from highway traffic scenes. The expectation-maximization (EM) algorithm is used to classify the vehicles in the images as' eithe... 详细信息
来源: 评论
Variational learning for Gaussian mixture models
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IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS 2006年 第4期36卷 849-862页
作者: Nasios, Nikolaos Bors, Adrian G. Univ York Dept Comp Sci York YO10 5DD N Yorkshire England
This paper proposes a joint maximum likelihood and Bayesian methodology for estimating Gaussian mixture models. In Bayesian inference, the distributions of parameters are modeled, characterized by hyperparameters. In ... 详细信息
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A hybrid EM approach to spatial clustering
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COMPUTATIONAL STATISTICS & DATA ANALYSIS 2006年 第5期50卷 1188-1205页
作者: Hu, TM Sung, SY Natl Univ Singapore Dept Comp Sci Singapore 117543 Singapore
Spatial clustering requires consideration of spatial information and this makes expectation-maximization (EM) algorithm that maximizes likelihood alone inappropriate. Although neighborhood EM (NEM) algorithm incorpora... 详细信息
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Segmentation of trabeculated structures using an anisotropic Markov random field: Application to the study of the optic nerve head in glaucoma
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IEEE TRANSACTIONS ON MEDICAL IMAGING 2006年 第3期25卷 245-255页
作者: Grau, V Downs, JC Burgoyne, CF Louisiana State Univ Hlth Sci Ctr LSU Eye Ctr New Orleans LA 70112 USA Tulane Univ Dept Biomed Engn New Orleans LA 70118 USA
The study of the architecture of the optic nerve head (ONH) may provide valuable information about the development and progression of glaucoma. To this end, we have generated three-dimensional datasets from monkey eye... 详细信息
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Finding cancer subtypes in microarray data using random projections
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NEUROCOMPUTING 2006年 第16-18期69卷 2258-2267页
作者: Ghosh, Debashis Univ Michigan Sch Publ Hlth Dept Biostat Ann Arbor MI 48109 USA
One of the benefits of profiling cancer samples using microarrays is the generation of molecular fingerprints that will define subtypes of disease. Such subgroups have typically been found in microarray data using hie... 详细信息
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Network motif identification in stochastic networks
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PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA 2006年 第25期103卷 9404-9409页
作者: Jiang, Rui Tu, Zhidong Chen, Ting Sun, Fengzhu Univ So Calif Mol & Computat Biol Program Los Angeles CA 90089 USA
Network motifs have been identified in a wide range of networks across many scientific disciplines and are suggested to be the basic building blocks of most complex networks. Nonetheless, many networks come with intri... 详细信息
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Mixture model analysis of DNA microarray images
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IEEE TRANSACTIONS ON MEDICAL IMAGING 2005年 第7期24卷 901-909页
作者: Blekas, K Galatsanos, NP Likas, A Lagaris, IE Univ Ioannina Dept Comp Sci GR-45110 Ioannina Greece
In this paper, we propose a new methodology for analysis of microarray images. First, a new gridding algorithm is proposed for determining the individual spots and their borders. Then, a Gaussian mixture model (GMM) a... 详细信息
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A mixture of experts network structure for modelling Doppler ultrasound blood flow signals
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COMPUTERS IN BIOLOGY AND MEDICINE 2005年 第7期35卷 565-582页
作者: Güler, I Übeyli, ED Gazi Univ Fac Tech Educ Dept Elect & Comp Engn TR-06500 Ankara Turkey
Mixture of experts (ME) is a modular neural network architecture for supervised learning. This paper illustrates the use of ME network structure to guide modelling Doppler ultrasound blood flow signals. expectation-Ma... 详细信息
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Unsupervised restoration of hidden nonstationary Markov chains using evidential priors
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IEEE TRANSACTIONS ON SIGNAL PROCESSING 2005年 第8期53卷 3091-3098页
作者: Lanchantin, P Pieczynski, W Inst Natl Telecommun GET INT Dept CITI CNRS UMR 5157 F-91011 Evry France
This paper addresses the problem of unsupervised Bayesian hidden Markov chain restoration. When the hidden chain is stationary, the classical "Hidden Markov Chain" (HMC) model is quite efficient, and associa... 详细信息
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A modified mixture of experts network structure for ECG beats classification with diverse features
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ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE 2005年 第7期18卷 845-856页
作者: Güler, I Übeyli, ED Gazi Univ Fac Tech Educ Dept Elect & Comp Educ TR-06500 Ankara Turkey TOBB Ekon & Teknol Univ Fac Engn Dept Elect & Elect Engn TR-06530 Ankara Turkey
This paper illustrates the use of modified mixture of experts (MME) network structure to guide model selection for classification of electrocardiogram (ECG) beats with diverse features. The MME is a modular neural net... 详细信息
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