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检索条件"主题词=Expectation Maximization Algorithm"
643 条 记 录,以下是351-360 订阅
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Unsupervised Color Image Segmentation by Clustering into Multivariate Gaussians
Unsupervised Color Image Segmentation by Clustering into Mul...
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5th International Conference on Information Processing (ICIP 2011)
作者: Raj, Jobin Govindan, V. K. Natl Inst Technol Calicut Dept Comp Sci & Engn Calicut Kerala India
An Unsupervised Color Image Segmentation algorithm by using Finite Gaussian Mixture Model (GMM) is proposed in this paper. The parameters of GMM are estimated using expectation maximization (EM) algorithm. A novel tec... 详细信息
来源: 评论
UNIVERSAL WYNER-ZIV CODING FOR GAUSSIAN SOURCES
UNIVERSAL WYNER-ZIV CODING FOR GAUSSIAN SOURCES
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IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
作者: Dupraz, Elsa Roumy, Aline Kieffer, Michel Univ Paris 11 SUPELEC CNRS L2S F-91192 Gif Sur Yvette France INRIA F-35042 Rennes France CNRS Telecom ParisTech LTCI F-75013 Paris France Inst Univ France Paris France
This paper considers the problem of lossy source coding with side information at the decoder only, for Gaussian sources, when the joint statistics of the sources are partly unknown. We propose a practical universal co... 详细信息
来源: 评论
Multiple target tracking using hough transform PMHT algorithm  1
Multiple target tracking using hough transform PMHT algorith...
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1st International IEEE Symposium on Intelligent Systems
作者: Alexiev, KM Bulgarian Acad Sci Cent Lab Parallel Proc BU-1113 Sofia Bulgaria
The problem of estimating the parameters that determine a mixture density has been subject of extraordinary interest in the last years. Such a mixture density estimation problem is multi-target tracking. One of the ne... 详细信息
来源: 评论
No Change, No Gain: Empowering Graph Neural Networks with Expected Model Change maximization for Active Learning  37
No Change, No Gain: Empowering Graph Neural Networks with Ex...
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37th Conference on Neural Information Processing Systems (NeurIPS)
作者: Song, Zixing Zhang, Yifei King, Irwin Chinese Univ Hong Kong Hong Kong Peoples R China
Graph Neural Networks (GNNs) are crucial for machine learning applications with graph-structured data, but their success depends on sufficient labeled data. We present a novel active learning (AL) method for GNNs, ext... 详细信息
来源: 评论
Texture Analysis based on Gaussian Mixture Modeling
Texture Analysis based on Gaussian Mixture Modeling
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World Congress on Nature and Biologically Inspired Computing
作者: Sobha, T. Remya, S. Adi Shankara Inst Engn & Technol Dept Comp Sci Kalady 683574 Kerala India Univ Kerala Dept Comp Sci Thiruvananthapuram 695121 Kerala India
Gaussian mixture modeling is a recent approach in texture analysis and is used to model image textures. Texture is modeled using a mixture of Gaussian distributions, which capture the local statistical properties of t... 详细信息
来源: 评论
Convergence and Consistency Results in Spectral Clustering and Gaussian Mixture Models
Convergence and Consistency Results in Spectral Clustering a...
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作者: Zhao, Ruofei University of Michigan
学位级别:博士
Clustering analysis is a popular technique in statistics and machine learning. Despite its wide use, certain theoretical properties of clustering algorithms are not well-understood. In this dissertation, we investigat... 详细信息
来源: 评论
Em algorithm applied to non-stationary noisy phase signals
Em algorithm applied to non-stationary noisy phase signals
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IEEE International Conference on Acoustics, Speech, and Signal Processing
作者: Taleb, A Ericsson Radio Syst AB SE-16480 Stockholm Sweden
This paper concerns the application of the EM algorithm for the estimation of the parameters of non-stationary noisy phase mono component signals buried in additive noise. Noisy phase signals are appropriate for model... 详细信息
来源: 评论
Robust object tracking algorithm in natural environments
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2nd International Conference on Natural Computation (ICNC 2006)
作者: Hu, Shi-qiang Liang, Guo-zhuang Jing, Zhong-liang Hebei Univ Sci & Technol Coll Informat & Elect Shijiazhuang 050054 Peoples R China Shanghai Jiao Tong Univ Inst Informat & Elect Shanghai 200030 Peoples R China
In order to realize robust visual tracking in natural environments, a novel algorithm based on adaptive appearance model is proposed. The model can adapt to changes in object appearance over time. A mixture of three G... 详细信息
来源: 评论
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
来源: 评论
Traffic Speed Forecasting by Mixture of Experts
Traffic Speed Forecasting by Mixture of Experts
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14th International IEEE Conference on Intelligent Transportation Systems (ITSC)
作者: Coric, Vladimir Wang, Zhuang Vucetic, Slobodan Temple Univ Philadelphia PA 19122 USA Siemens Res Corp Princeton NJ 08540 USA
Traffic speed is one of the most important quantities for travel information systems. Accurate speed forecasting can help in trip planning by allowing travelers to avoid the congested routes, either by choosing the al... 详细信息
来源: 评论