Results 231 to 240 of about 401,065 (270)
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The refined MI: A significant improvement to mutual information
2014 International Conference on Asian Language Processing (IALP), 2014Distributional lexical semantics is an empirical approach that is mainly concerned with modeling words' meanings using word distribution statistics gathered from very large corpora. It is basically built on the Distributional Hypothesis by Zellig Harris in 1970, which states that the difference in words' meanings is associated with the difference in ...
Maha Alrabiah +2 more
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A framework for parameter optimization in mutual information (MI)-based registration algorithms
SPIE Proceedings, 2006In this paper, we present a framework that one could use to set optimized parameter values, while performing image registration using mutual information as a metric to be maximized. Our experiment details these steps for the registration of X-ray Computer Tomography (CT) images with Positron Emission Tomography (PET) images.
Girish Gopalakrishnan +4 more
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Spectrochimica Acta Part B: Atomic Spectroscopy, 2021
Abstract Coal quality analysis can provide basic work for the design and operation of related equipment and technological processes, which mainly including ash content and volatile matter. Variable selection plays an important role in the model and properly variable selection methods which can promote the predictive performance of the model and ...
Ting He +5 more
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Abstract Coal quality analysis can provide basic work for the design and operation of related equipment and technological processes, which mainly including ash content and volatile matter. Variable selection plays an important role in the model and properly variable selection methods which can promote the predictive performance of the model and ...
Ting He +5 more
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2021
Accurately predicting NOx emissions during boiler combustion is of significance for the operation and control of the boiler combustion systems in coal-fired power plants. According to the characteristics of the boiler combustion process with strong disturbances, highly nonlinear and multivariate coupling, a fusion model based on mutual information ...
Kangwei Lin +5 more
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Accurately predicting NOx emissions during boiler combustion is of significance for the operation and control of the boiler combustion systems in coal-fired power plants. According to the characteristics of the boiler combustion process with strong disturbances, highly nonlinear and multivariate coupling, a fusion model based on mutual information ...
Kangwei Lin +5 more
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2021
Electroencephalography (EEG) classification is an important part in brain-computer interface system. Motor imagery is a novel experimental paradigm that has been proved effective clinically in recognizing EEG from different limb motions. Our object is to finish motor imagery based EEG classification.
Yonghao Ren +3 more
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Electroencephalography (EEG) classification is an important part in brain-computer interface system. Motor imagery is a novel experimental paradigm that has been proved effective clinically in recognizing EEG from different limb motions. Our object is to finish motor imagery based EEG classification.
Yonghao Ren +3 more
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MI-MCF: A Mutual Information-Based Multilabel Causal Feature Selection
IEEE Transactions on Neural Networks and Learning SystemsMultilabel causal feature selection has attracted extensive attention in recent years. Current multilabel causal feature selection algorithms typically employ existing Markov Blanket (MB) search methods for the initial construction of the MB, followed by further optimization.
Lin Ma +4 more
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Intensity-Modulated Radiation Therapy — Quality Assurance with the Mutual Information Index (MI)
2007Radiation therapy is an important method of treating neoplastic diseases with ionizing radiation. For this treatment electromagnetic or corpuscular (electrons, protons, neutrons) radiation is used which causes ionization and excitation in the energy absorbing tissue [1].
Astrid Brendemühl +5 more
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Multi-modal Image Registration by Quantitative-Qualitative Measure of Mutual Information (Q-MI)
2005This paper presents a novel measure of image similarity, called quantitative-qualitative measure of mutual information (Q-MI), for multi-modal image registration. Conventional information measure, i.e., Shannon’s entropy, is a quantitative measure of information, since it only considers probabilities, not utilities of events.
Hongxia Luan, Feihu Qi, Dinggang Shen
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Medical Physics, 2006
Purpose: Digital tomosynthesis (DTS) is a fast, low‐dose method for reconstructing 3‐D slices from 2‐D cone‐beam x‐ray projection data acquired with limited source angulation (e.g., 40°). We previously developed a method for reconstructing reference DTS (RDTS) images from a planning CT volume, for registration with on‐board DTS image data.
D Godfrey, L Ren, H Yan, M Oldham, F Yin
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Purpose: Digital tomosynthesis (DTS) is a fast, low‐dose method for reconstructing 3‐D slices from 2‐D cone‐beam x‐ray projection data acquired with limited source angulation (e.g., 40°). We previously developed a method for reconstructing reference DTS (RDTS) images from a planning CT volume, for registration with on‐board DTS image data.
D Godfrey, L Ren, H Yan, M Oldham, F Yin
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MI-GCN: Node Mutual Information-based Graph Convolutional Network
Companion Proceedings of the Web Conference 2022, 2022Lei Tian, Huaming Wu
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