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检索条件"主题词=Expectation Maximization Algorithm"
643 条 记 录,以下是581-590 订阅
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Robust Object Detection and Tracking Using a Space-Temporal Mutual Feedback Scheme
Robust Object Detection and Tracking Using a Space-Temporal ...
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2008 IEEE International Symposium on Knowledge Acquisition and Modeling Workshop(KAM 2008)
作者: Xuchao Li College of Information Science and Media Jinggangshan University Ji’an,ChinaSuxuan Bian College of Nursing Jinggangshan University Ji’an,China
A statistical object detection and tracking mutual feedback scheme,combining Gaussian mixture model (GMM) based on principal component analysis (PCA) and expectation maximization (EM) Kalman filter algorithm,is propos... 详细信息
来源: 评论
Missing data: A comparison of neural network and expectation maximization techniques
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CURRENT SCIENCE 2007年 第11期93卷 1514-1521页
作者: Nelwamondo, Fulufhelo V. Mohamed, Shakir Marwala, Tshilidzi Univ Witwatersrand Sch Elect & Informat Engn ZA-2050 Johannesburg South Africa
Two techniques have emerged from the recent literature as candidate solutions to the problem of missing data imputation. These are the expectation maximization (EM) algorithm and the auto-associative neural network an... 详细信息
来源: 评论
Bayesian methods for predicting interacting protein pairs using domain information
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BIOMETRICS 2007年 第3期63卷 824-833页
作者: Kim, Inyoung Liu, Yin Zhao, Hongyu Yale Univ Dept Epidemiol & Publ Hlth Sch Med New Haven CT 06520 USA Yale Univ Program Computat Biol & Bioinformat New Haven CT 06520 USA Yale Univ Sch Med Dept Genet New Haven CT 06520 USA
Protein-protein interactions (PPIs) play important roles in most fundamental cellular processes including cell cycle, metabolism, and cell proliferation. Therefore, the development of effective statistical approaches ... 详细信息
来源: 评论
Exact reduced-complexity maximum likelihood reconstruction of multiple 3-d objects from unlabeled unoriented 2-d projections and electron microscopy of viruses
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IEEE TRANSACTIONS ON IMAGE PROCESSING 2007年 第12期16卷 2865-2878页
作者: Lee, Junghoon Doerschuk, Peter C. Johnson, John E. Purdue Univ Sch Elect & Comp Engn W Lafayette IN 47907 USA Scripps Res Inst Dept Mol Biol La Jolla CA 92037 USA
In cryo-electron microscopy, the data is comprised of noisy 2-D projection images of the 3-D electron scattering intensity of the object where the orientation of the projections is unknown. Often, the images show rand... 详细信息
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Analysis of E. coli promoter recognition problem in dinucleotide feature space
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BIOINFORMATICS 2007年 第5期23卷 582-588页
作者: Rani, T. Sobha Bhavani, S. Durga Bapi, Raju S. Univ Hyderabad Dept Comp & Informat Sci Computat Intelligence Lab Hyderabad 500046 Andhra Pradesh India
Motivation: Patterns in the promoter sequences within a species are known to be conserved but there exist many exceptions to this rule which makes the promoter recognition a complex problem. Although many complex feat... 详细信息
来源: 评论
A generalized BCJR algorithm and its use in iterative blind channel identification
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IEEE SIGNAL PROCESSING LETTERS 2007年 第10期14卷 661-664页
作者: Gunther, Jake Keller, David Moon, Todd Utah State Univ Logan UT 84322 USA
Recently, the well-known Bahl-Cocke-Jelinek-Raviv (BCJR) algorithm was generalized to compute joint posterior probabilities of arbitrary sets of symbols given noisy observations of those symbols at the output of an in... 详细信息
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EM based semi-blind beamforming algorithm in MIMO-OFDM systems
EM based semi-blind beamforming algorithm in MIMO-OFDM syste...
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IEEE Pacific Rim Conference on Communications, Computers and Signal Processing
作者: Zamiri-Jafarian, H. Bokharaiee-Najafee, S. Pasupathy, S. Ferdowsi Univ Mashhad Dept Elect Engn Mashhad Iran Univ Toronto Dept Elect & Comp Engn Toronto ON Canada
A new EM based semi-blind beamforming algorithm is proposed in this paper for multiple input multiple output (MIMO) systems in which orthogonal frequency division multiplexing (OFDM) technique is used. Employing singu... 详细信息
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Maximum-likelihood carrier-frequency synchronization and channel estimation for MIMO-OFDM systems
Maximum-likelihood carrier-frequency synchronization and cha...
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Wireless Telecommunications Symposium
作者: Salari, S. Ahmadian, M. Ardebilipour, M. Meghdadi, V. Cances, J. P. KN Toosi Univ Technol Tehran Iran Univ Limoges Limoges France
In this paper, we propose a new scheme for maximum-likelihood (ML) estimation of both carrier-frequency offset (CFO) and channel coefficients in multiple-input multiple-output (MIMO) orthogonal frequency division mult... 详细信息
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Speech emotion recognition using Gaussian mixture vector autoregressive models
Speech emotion recognition using Gaussian mixture vector aut...
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32nd IEEE International Conference on Acoustics, Speech and Signal Processing
作者: El Ayadi, Moataz M. H. Kamel, Mohamed S. Karray, Fakhri Univ Waterloo Pattern Anal & Machine Intelligence Lab Waterloo ON N2L 3G1 Canada
It is believed that modeling temporal structure of the speech data may be useful for the problem of speech emotion recognition [1]. In this paper, Gaussian mixture vector autoregressive model is proposed as a statisti... 详细信息
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Unsupervised algorithm for radiographic image segmentation based on the Gaussian mixture model
Unsupervised algorithm for radiographic image segmentation b...
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International Conference on Computer as a Tool (EUROCON 2007)
作者: Mekhalfa, Faiza Nacereddine, Nafaa Goumeidane, Aicha Baya Welding & NDT Res Ctr Image & Signal Proc Lab Cheraga Algeria
In this paper we study an unsupervised algorithm for radiographic image segmentation, based on the Gaussian mixture models (GMMs). Gaussian mixture models constitute a well-known type of probabilistic neural networks.... 详细信息
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