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检索条件"主题词=Expectation-Maximization Algorithm"
627 条 记 录,以下是571-580 订阅
排序:
Joint channel estimation and symbol detection for space-time block code
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Journal of Systems Engineering and Electronics 2004年 第3期15卷 266-269页
作者: 单淑伟 罗汉文 宋文涛 DepartmentofElectronicEngineering ShanghaiJiaotongUniversityShanghai200030P.R.China
The simplified joint channel estimation and symbol detection based on the EM (expectation-maximization) algorithm for space-time block code (STBC) are proposed. By assuming channel to be invariant within only one STBC... 详细信息
来源: 评论
Multiple model PMHT and its application to the second benchmark radar tracking problem
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IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS 2004年 第4期40卷 1337-1350页
作者: Ruan, YH Willett, P Univ Connecticut Storrs CT 06269 USA
The probabilistic multiple hypothesis tracker (PMHT) uses the expectation-maximization (EM) algorithm to solve the measurement-origin uncertainty problem. Here we explore some of its variants for maneuvering targets a... 详细信息
来源: 评论
Detection of land-cover transitions by combining multidate classifiers
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PATTERN RECOGNITION LETTERS 2004年 第13期25卷 1491-1500页
作者: Bruzzone, L Cossu, R Vernazza, G Univ Trent Dept Informat & Commun Technol I-38050 Trento Italy Univ Genoa Dept Biophys & Elect Engn I-16145 Genoa Italy
This paper addresses the problem of detecting land-cover transitions by analysing multitemporal remote-sensing images. In order to develop an effective system for the detection of land-cover transitions, an ensemble o... 详细信息
来源: 评论
Scale-space processing of point-sampled geometry for efficient 3D object segmentation
Scale-space processing of point-sampled geometry for efficie...
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International Conference on Cyberworlds (CW 2004)
作者: Laga, H Takahashi, H Nakajima, M Tokyo Inst Technol Grad Sch Informat Sci & Engn Meguro Ku Tokyo 1528552 Japan
In this paper we present a new framework for analyzing and segmenting point-sampled 3D objects. Our method first computes for each surface point the surface curvature distribution by applying the Principal Component A... 详细信息
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Iterative PIC detection and channel estimation for DS-CDMA 3G communications
Iterative PIC detection and channel estimation for DS-CDMA 3...
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IEEE Wireless Communications and Networking Conference
作者: Morosi, S Rufolo, P Fantacci, R Univ Florence Elect & Telecommun Dept I-50139 Florence Italy
This paper presents it Turbo Multiuser Detector for Turbo-Coded DS-CDMA systems, based on the utilization of a PIC and a bank of turbo decoders, in which the PIC performs interference cancellation after each constitue... 详细信息
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Detection of land-cover transitions by combining multidate classifiers
Detection of land-cover transitions by combining multidate c...
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2nd International Workshop on Pattern Recognition for Remote Sensing
作者: Bruzzone, L Cossu, R Vernazza, G Univ Trent Dept Informat & Commun Technol I-38050 Trento Italy Univ Genoa Dept Biophys & Elect Engn I-16145 Genoa Italy
This paper addresses the problem of detecting land-cover transitions by analysing multitemporal remote-sensing images. In order to develop an effective system for the detection of land-cover transitions, an ensemble o... 详细信息
来源: 评论
A Bayesian molecular interaction library
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JOURNAL OF COMPUTER-AIDED MOLECULAR DESIGN 2003年 第7期17卷 435-461页
作者: Rantanen, VV Gyllenberg, M Koski, T Johnson, MS Univ Turku Dept Math FIN-20014 Turku Finland Abo Akad Univ Dept Biochem & Pharm FIN-20521 Turku Finland Linkoping Univ Dept Math S-58183 Linkoping Sweden
We describe a library of molecular fragments designed to model and predict non-bonded interactions between atoms. We apply the Bayesian approach, whereby prior knowledge and uncertainty of the mathematical model are i... 详细信息
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Clustering ensembles of neural network models
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NEURAL NETWORKS 2003年 第2期16卷 261-269页
作者: Bakker, B Heskes, T Univ Nijmegen SNN NL-6525 EZ Nijmegen Netherlands
We show that large ensembles of (neural network) models, obtained e.g. in bootstrapping or sampling from (Bayesian) probability distributions, can be effectively summarized by a relatively small number of representati... 详细信息
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Adaptive sparseness for supervised learning
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IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE 2003年 第9期25卷 1150-1159页
作者: Figueiredo, MAT Univ Tecn Lisboa Inst Telecommun Inst Super Tecn P-1049001 Lisbon Portugal Univ Tecn Lisboa Dept Elect & Comp Engn Inst Super Tecn P-1049001 Lisbon Portugal
The goal of supervised teaming is to infer a functional mapping based on a set of training examples. To achieve good generalization, it is necessary to control the "complexity" of the learned function. In Ba... 详细信息
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Image restoration: The wavelet-based approach
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INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE 2003年 第1期17卷 151-162页
作者: Ndjountche, T Unbehauen, R Univ Erlangen Nurnberg Dept Elect Elect & Informat Engn D-91058 Erlangen Germany
Wavelet-based techniques are suitable for recovering a signal corrupted by noise. The time- and frequency-localization capabilities of wavelets provide better noise reduction and less signal distortion than convention... 详细信息
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