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浏览/检索结果: 共9条，第1-9条 帮助

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Transition and Dynamic Reconfiguration of Whole-Brain Network in Major Depressive Disorder 期刊论文  OAI收割
MOLECULAR NEUROBIOLOGY, 2020, 页码: 14
作者:  Wang, Shengpei;  Wen, Hongwei;  Hu, Xiaopeng;  Xie, Peng;  Qiu, Shuang
  |  收藏  |  浏览/下载：39/0  |  提交时间：2020/08/03
An intelligent learning approach for improving ECG signal classification and arrhythmia analysis 期刊论文  OAI收割
ARTIFICIAL INTELLIGENCE IN MEDICINE, 2020, 卷号: 103, 页码: 14
作者:  Sangaiah, Arun Kumar;  Arumugam, Maheswari;  Bian, Gui-Bin
  |  收藏  |  浏览/下载：32/0  |  提交时间：2020/06/02
Hidden Markov Model Approach for Software Reliability Estimation with Logic Error 期刊论文  OAI收割
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 2, 页码: 305-320
作者:  R. Bharathi;  R. Selvarani
  |  收藏  |  浏览/下载：19/0  |  提交时间：2021/02/22
Hidden Markov model based rotate vector reducer fault detection using acoustic emissions 期刊论文  OAI收割
INTERNATIONAL JOURNAL OF SENSOR NETWORKS, 2020, 卷号: 32, 期号: 2, 页码: 116-125
作者:  An HB(安海博);  Liang W(梁炜);  Zhang YL(张吟龙);  Tan JD(谈金东)
  |  收藏  |  浏览/下载：16/0  |  提交时间：2020/03/01
Stroboscope Based Synchronization of Full Frame CCD Sensors 期刊论文  OAI收割
SENSORS, 2017, 卷号: 17, 期号: 4, 页码: 16
作者:  Shen, Liang;  Feng, Xiaobing;  Zhang, Yuan;  Shi, Min;  Zhu, Dengming
  |  收藏  |  浏览/下载：27/0  |  提交时间：2019/12/12
Incremental Learning for Video-Based Gait Recognition With LBP Flow 期刊论文  OAI收割
IEEE TRANSACTIONS ON CYBERNETICS, 2012, 卷号: 43, 期号: 1, 页码: 77-89
作者:  Maodi Hu;  Yunhong Wang;  Zhaoxiang Zhang;  De Zhang;  Little, James J
  |  收藏  |  浏览/下载：22/0  |  提交时间：2017/02/09
Factorial HMM and Parallel HMM for Gait Recognition 期刊论文  OAI收割
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND REVIEWS, 2009, 卷号: 39, 期号: 1, 页码: 114-123
作者:  Chen, Changhong;  Liang, Jimin;  Zhao, Heng;  Hu, Haihong;  Tian, Jie
收藏  |  浏览/下载：36/0  |  提交时间：2015/08/12
CR image filter methods research based on wavelet-domain hidden markov models (EI CONFERENCE) 会议论文  OAI收割
ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China
作者:  Wang J.-L.;  Wang J.-L.;  Li D.-Y.;  Wang Y.-P.
收藏  |  浏览/下载：18/0  |  提交时间：2013/03/25
In the procedure of computed radiography imaging  we should firstly get across the characters of kinds of noises and the relationship between the image signals and noises. Based on the specialties of computed radiography (CR) images and medical image processing  we have study the filtering methods for computed radiography images noises. On the base of analyzing computed radiography imaging system in detail  the author think that the major two noises are Gaussian white noise and Poisson noise. Then  the different relationship of between two kinds of noises and signal were studied completely. By considering both the characteristics of computed radiography images and the statistical features of wavelet transformed images  a multiscale image filtering algorithm  which based on two-state hidden markov model (HMM) and mixture Gaussian statistical model  has been used to decrease the Gaussian white noise in computed images. By using EM (Expectation Maximization) algorithm to estimate noise coefficients in each scale and obtain power spectrum matrix  then this carried through the syncretized two Filter that are IIR(infinite impulse response) Wiener Filter and HMM  according to scale size  and achieve the experiments as well as the comparison with other denoising methods were presented at last.  
基于HMM的脱机自由手写英文单词识别系统 学位论文  OAI收割
工学硕士, 中国科学院自动化研究所: 中国科学院研究生院, 2004
梁佳玉
收藏  |  浏览/下载：49/0  |  提交时间：2015/09/02