咨询与建议

限定检索结果

文献类型

  • 129 篇 会议
  • 58 篇 期刊文献

馆藏范围

  • 187 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 80 篇 工学
    • 57 篇 电气工程
    • 29 篇 计算机科学与技术...
    • 17 篇 信息与通信工程
    • 9 篇 生物医学工程(可授...
    • 7 篇 控制科学与工程
    • 4 篇 机械工程
    • 4 篇 交通运输工程
    • 4 篇 软件工程
    • 3 篇 仪器科学与技术
    • 2 篇 土木工程
    • 2 篇 核科学与技术
    • 1 篇 测绘科学与技术
    • 1 篇 航空宇航科学与技...
  • 14 篇 医学
    • 13 篇 临床医学
    • 8 篇 特种医学
    • 1 篇 基础医学(可授医学...
  • 13 篇 理学
    • 5 篇 物理学
    • 3 篇 系统科学
    • 2 篇 数学
    • 2 篇 生物学
    • 1 篇 统计学(可授理学、...
  • 2 篇 农学
    • 1 篇 作物学
  • 2 篇 管理学
    • 2 篇 管理科学与工程(可...
  • 1 篇 法学
    • 1 篇 社会学
  • 1 篇 军事学
    • 1 篇 军队指挥学
  • 1 篇 艺术学
    • 1 篇 设计学(可授艺术学...

主题

  • 187 篇 expectation-maxi...
  • 48 篇 maximum likeliho...
  • 33 篇 parameter estima...
  • 24 篇 iterative algori...
  • 16 篇 image reconstruc...
  • 14 篇 hidden markov mo...
  • 14 篇 covariance matri...
  • 13 篇 statistics
  • 13 篇 image segmentati...
  • 13 篇 convergence
  • 13 篇 algorithm design...
  • 12 篇 maximum likeliho...
  • 12 篇 signal processin...
  • 12 篇 degradation
  • 12 篇 layout
  • 11 篇 channel estimati...
  • 11 篇 stochastic proce...
  • 9 篇 frequency estima...
  • 9 篇 image analysis
  • 8 篇 signal to noise ...

机构

  • 4 篇 ohio state univ ...
  • 3 篇 department of el...
  • 3 篇 ece department l...
  • 2 篇 communications l...
  • 2 篇 open univ dept c...
  • 2 篇 univ toulouse ir...
  • 2 篇 washington unive...
  • 2 篇 department of in...
  • 2 篇 washington univ ...
  • 2 篇 department of co...
  • 2 篇 german aerosp ct...
  • 2 篇 department of el...
  • 2 篇 biomagnetic imag...
  • 2 篇 department of el...
  • 2 篇 golden metallic ...
  • 1 篇 department of el...
  • 1 篇 electrical compu...
  • 1 篇 hiroshima univ a...
  • 1 篇 indian institute...
  • 1 篇 univ calif berke...

作者

  • 5 篇 snyder dl
  • 4 篇 schniter philip
  • 3 篇 miller mi
  • 3 篇 wong k. c. p.
  • 3 篇 reel parminder s...
  • 3 篇 boerner anko
  • 3 篇 dooley laurence ...
  • 2 篇 parminder singh ...
  • 2 篇 r.l. lagendijk
  • 2 篇 m. coates
  • 2 篇 lacan jerome
  • 2 篇 c. herzet
  • 2 篇 l. vandendorpe
  • 2 篇 d.e. boekee
  • 2 篇 bayen alexandre
  • 2 篇 j. biemond
  • 2 篇 j. yang
  • 2 篇 boucheret marie-...
  • 2 篇 ba demba
  • 2 篇 m.n. wernick

语言

  • 185 篇 英文
  • 2 篇 其他
检索条件"主题词=Expectation-Maximization algorithms"
187 条 记 录,以下是21-30 订阅
Dense Syn-Net: Inter-Modal and Self-Guided Deep Learned PET-MR Reconstruction
Dense Syn-Net: Inter-Modal and Self-Guided Deep Learned PET-...
收藏 引用
IEEE Symposium on Nuclear Science (NSS/MIC)
作者: Guillaume Corda-D’Incan Julia A. Schnabel Andrew J. Reader School of Biomedical Engineering and Imaging Sciences King’s College London UK Technical University of Munich Germany Helmholtz Center Munich Germany
We present a new framework for PET-MR reconstruction using deep learning. The proposed network named Dense Syn-Net is a new version of the synergistic network Syn-Net. This method is built on two model-based image rec... 详细信息
来源: 评论
Recursive Maximum Likelihood Algorithm for Dependent Observations
收藏 引用
IEEE TRANSACTIONS ON SIGNAL PROCESSING 2019年 第5期67卷 1366-1381页
作者: Schwartz, Boaz Gannot, Sharon Habets, Emanuel A. P. Noam, Yair Bar Ilan Univ Fac Engn IL-5290002 Ramat Gan Israel Int Audio Labs Erlangen D-91058 Erlangen Germany
A recursive maximum-likelihood algorithm (RML) is proposed that can be used when both the observations and the hidden data have continuous values and are statistically dependent between different time samples. The alg... 详细信息
来源: 评论
Adjacency-based regularization for partially ranked data with non-ignorable missing
收藏 引用
COMPUTATIONAL STATISTICS & DATA ANALYSIS 2020年 145卷
作者: Nakamura, Kento Yano, Keisuke Komaki, Fumiyasu Univ Tokyo Grad Sch Informat Sci & Technol Dept Math Informat Bunkyo Ku 7-3-1 Hongo Tokyo 1138656 Japan RIKEN Ctr Brain Sci 2-1 Hirosawa Wako Saitama 3510198 Japan
In analyzing ranked data, we often encounter situations in which data are partially ranked. Regarding partially ranked data as missing data, this paper addresses parameter estimation for partially ranked data under a ... 详细信息
来源: 评论
An Accurate, Fast Approximation for the Sum of Fading Random Variables via expectation maximization Applications to Diversity Systems
收藏 引用
IEEE ACCESS 2018年 6卷 42616-42630页
作者: Vega Sanchez, Jose David Urquiza-Aguiar, Luis Paredes Paredes, Martha Cecilia Escuela Politec Nacl Dept Elect Telecomunicac & Redes Informac Fac Elect & Elect Quito 170525 Ecuador
Sums of fading envelopes occur in several wireless communications applications. The exact mathematical solution to this statistic is, however, rather intricate. In this paper, we derive a novel closed-form approximati... 详细信息
来源: 评论
Parameter Estimation For Bursty-Intermittent Observations
Parameter Estimation For Bursty-Intermittent Observations
收藏 引用
IEEE Signal Processing and Communications Applications (SIU)
作者: Çagatay Candan Elektrik ve Elektronik Mühendisliği Bölümü Orta Doğu Teknik Üniversitesi
Parameter estimation problem is examined in the setting where the noise power is allowed to change from sample to sample. Parameters of the noise source is assumed to be generated by a Markov chain whose state sequenc... 详细信息
来源: 评论
Solving Time-Domain Audio Inverse Problem Using Nonnegative Tensor Factorization
收藏 引用
IEEE TRANSACTIONS ON SIGNAL PROCESSING 2018年 第21期66卷 5604-5617页
作者: Bilen, Cagdas Ozerov, Alexey Perez, Patrick Audio Analyt Ltd Cambridge CB5 8AB England Technicolor F-35576 Cesson Sevigne France Valeo Ai F-75017 Paris France
Nonnegative matrix factorization (NMF) and nonnegative tensor factorization (NTF) are important tools for modeling nonnegative data, which gained increasing popularity in various fields, a significant one of which is ... 详细信息
来源: 评论
A GAMP-Based Low Complexity Sparse Bayesian Learning Algorithm
收藏 引用
IEEE TRANSACTIONS ON SIGNAL PROCESSING 2018年 第2期66卷 294-308页
作者: Al-Shoukairi, Maher Schniter, Philip Rao, Bhaskar D. Univ Calif San Diego Dept Elect & Comp Engn San Diego CA 92093 USA Ohio State Univ Dept Elect & Comp Engn Columbus OH 43210 USA
In this paper, we present an algorithm for the sparse signal recovery problem that incorporates damped Gaussian generalized approximate message passing (GGAMP) into expectation-maximization-based sparse Bayesian learn... 详细信息
来源: 评论
Mixture Semisupervised Bayesian Principal Component Regression for Soft Sensor Modeling
收藏 引用
IEEE ACCESS 2018年 6卷 40909-40919页
作者: Zhu, Pengbo Liu, Xin Wang, Yanbo Yang, Xianqiang Harbin Inst Technol Res Inst Intelligent Control & Syst Harbin 150080 Heilongjiang Peoples R China
In this paper, a mixture semisupervised Bayesian principal component regression-based soft sensor modeling method for nonlinear industrial process with multiple operating modes is presented. In many chemistry processe... 详细信息
来源: 评论
A Framework for Clustered and Skewed Sparse Signal Recovery
收藏 引用
IEEE TRANSACTIONS ON SIGNAL PROCESSING 2018年 第15期66卷 3972-3986页
作者: Wang, Sheng Rahnavard, Nazanin Oklahoma State Univ Sch Elect & Comp Engn Stillwater OK 74078 USA Univ Cent Florida Dept Elect Engn & Comp Sci Orlando FL 32816 USA
A novel framework, clustered-skew normal mixture-belief propagation, is developed to solve the reconstruction of undersampled clustered signals, where the magnitudes of signal coefficients in each cluster are distribu... 详细信息
来源: 评论
ON THE IMPLEMENTATION AND ANALYSIS OF expectation maximization algorithms WITH STOPPING CRITERIONmaximization
ON THE IMPLEMENTATION AND ANALYSIS OF EXPECTATION MAXIMIZATI...
收藏 引用
19th IEEE International Conference on Image Processing (ICIP)
作者: Ryan, Andrew Mora, Benjamin Chen, Min Swansea Univ Coll Sci Dept Comp Sci Swansea W Glam Wales Univ Oxford Oxford E Res Ctr Oxford England
The expectation maximization (EM) algorithm is an alternative reconstruction method to the Filtered Back Projection method, providing many advantages including decreased sensitivity to noise. However the algorithm req... 详细信息
来源: 评论