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The Improving Characteristics of the Gradual Gaussian Multidimensional Pre-filter for Optical Flow Estimation

Fu Jun,Xu Weipu

Strategic Study of CAE 2004, Volume 6, Issue 12,   Pages 56-61

Abstract:

Based on the unified estimation-theoretic framework, an effective method of using the gradual Gaussianmultidimensional pre-filter to improve the optical flow estimation is presented.After pre-filtering the image sequence by the Gaussian multidimensional filter, the average PSNR of the

Keywords： optical flow computing     Gaussian multidimensional filter     PSNR     motion estimation    

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ApproximateGaussian conjugacy: parametric recursive filtering under nonlinearity,multimodality, uncertainty, and constraint, and beyond Review

Tian-cheng LI, Jin-ya SU, Wei LIU, Juan M. CORCHADO

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 12,   Pages 1913-1939 doi: 10.1631/FITEE.1700379

Abstract: ., recursion from a Gaussian or Gaussian mixture (GM) prior to a Gaussian/GM posterior (termed ‘Gaussianconjugacy’ in this paper), form the backbone for a general time series filter design.multimodality (including target maneuver), intractable uncertainties (such as unknown inputs and/or non-Gaussianattention is paid to nonlinear systems with an informative observation, multimodal systems including Gaussianaddition, we provide some new thoughts on alternatives to the first-order Markov transition model and on filter

Keywords： Kalman filter     Gaussian filter     Time series estimation     Bayesian filtering     Nonlinear filtering     Constrainedfiltering     Gaussian mixture     Maneuver     Unknown inputs    

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New decentralized control technique based on substructure and LQG approaches

Ying LEI, Ying LIN,

Frontiers of Mechanical Engineering 2009, Volume 4, Issue 4,   Pages 386-392 doi: 10.1007/s11465-009-0041-x

Abstract: In this paper, a new decentralized control technique is proposed based on the linear quadratic Gaussian

Keywords： substructures     decentralized control     linear quadratic Gaussian (LQG)     Kalman filter     unknown input     least-squares    

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Simulation and analysis of grinding wheel based on Gaussian mixture model

Yulun CHI, Haolin LI

Frontiers of Mechanical Engineering 2012, Volume 7, Issue 4,   Pages 427-432 doi: 10.1007/s11465-012-0350-3

Abstract: The Gaussian mixture model (GMM) is used to transform the measured non-Gaussian field to Gaussian fields

Keywords： grinding wheel     3D topographies measurement     Gaussian mixture model     simulation    

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The engineering analysis of the multidimensional attribute

Xu Changshan,Qu Lei

Strategic Study of CAE 2013, Volume 15, Issue 11,   Pages 92-96

Abstract: justify;">Engineering as a activity which people change nature and construction of artificial nature, has multidimensionalThe research of the engineering,we should inspect the multidimensional attributes of engineering,and

Keywords： engineering     multidimensional     attribute    

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Performance monitoring of non-gaussian chemical processes with modes-switching using globality-locality

Xin Peng, Yang Tang, Wenli Du, Feng Qian

Frontiers of Chemical Science and Engineering 2017, Volume 11, Issue 3,   Pages 429-439 doi: 10.1007/s11705-017-1675-6

Abstract: based on modified structure analysis and globality and locality preserving (MSAGL) projection, for non-Gaussianlocality preserving projection to analyze the embedding geometrical manifold and extracting the non-Gaussian

Keywords： non-Gaussian processes     subspace projection     independent component analysis     locality preserving projection    

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Determination of effective stress parameter of unsaturated soils: A Gaussian process regression approach

Pijush Samui, Jagan J

Frontiers of Structural and Civil Engineering 2013, Volume 7, Issue 2,   Pages 133-136 doi: 10.1007/s11709-013-0202-1

Abstract: This article examines the capability of Gaussian process regression (GPR) for prediction of effective

Keywords： unsaturated soil     effective stress parameter     Gaussian process regression (GPR)     artificial neural network    

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Inverse Gaussian process-based corrosion growth modeling and its application in the reliability analysis

Hao QIN, Shenwei ZHANG, Wenxing ZHOU

Frontiers of Structural and Civil Engineering 2013, Volume 7, Issue 3,   Pages 276-287 doi: 10.1007/s11709-013-0207-9

Abstract: This paper describes an inverse Gaussian process-based model to characterize the growth of metal-loss

Keywords： pipeline     metal-loss corrosion     inverse Gaussian process     measurement error     hierarchical Bayesian     Markov    

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Standard model of knowledge representation

Wensheng YIN

Frontiers of Mechanical Engineering 2016, Volume 11, Issue 3,   Pages 275-288 doi: 10.1007/s11465-016-0372-3

Abstract: It can express knowledge in terms of multivariate and multidimensional.

Keywords： knowledge representation     standard model     ontology     system theory     control theory     multidimensional representation    

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operation in the presence of different random noises and uncertainty: Implementation of generalized Gaussian

Nasser L. AZAD,Ahmad MOZAFFARI

Frontiers of Mechanical Engineering 2015, Volume 10, Issue 4,   Pages 405-412 doi: 10.1007/s11465-015-0354-x

Abstract: Then, by using a Gaussian process regression machine (GPRM), a reliable model is used for the sake of

Keywords： automotive engine     calibration     coldstart operation     Gaussian process regression machine (GPRM)     uncertainty    

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prediction method for remaining useful life of lithium-ion batteries based on a neural network and Gaussian

Frontiers in Energy doi: 10.1007/s11708-023-0906-4

Abstract: prediction accuracy of the RUL of LIBs, a two-phase RUL early prediction method combining neural network and Gaussian

Keywords： lithium-ion batteries     RUL prediction     double exponential model     neural network     Gaussian process regression    

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Research on Multidimensional Connotations of Megaproject Construction Organization Citizenship Behavior

Qing-hua He,De-lei Yang,Yong-kui Li,Lan Luo

Frontiers of Engineering Management 2015, Volume 2, Issue 2,   Pages 148-153 doi: 10.15302/J-FEM-2015024

Abstract: Based on a literature review and the context characteristics of construction megaprojects (CMPs), a multidimensional

Keywords： construction megaproject (CMP)     organizational citizenship behavior     connotation     grounded theory    

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A knowledge push technology based on applicable probability matching and multidimensional context driving None

Shu-you ZHANG, Ye GU, Xiao-jian LIU, Jian-rong TAN

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 2,   Pages 235-245 doi: 10.1631/FITEE.1700763

Abstract: In this paper, we propose a knowledge push technology based on applicable probability matching and multidimensionalThe hierarchical design content models were built to filter the knowledge in push results.The rules of personalized knowledge push were sorted by multidimensional contexts, which include design

Keywords： Product design     Knowledge push     Applicable probability matching     Multidimensional context     Personalization    

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Implicit Heaviside filter with high continuity based on suitably graded THB splines

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 1,   Pages 14-14 doi: 10.1007/s11465-021-0670-2

Abstract: problem of low continuity resulting from the discreteness of both design variables and explicit Heaviside filterIn this paper, an implicit Heaviside filter with high continuity is introduced to generate black andintrinsic local support and high continuity of THB basis, an implicit adaptively adjusted Heaviside filterThreefold advantages are attained in the proposed filter: a) The connection between analysis mesh andSeveral numerical examples are used to verify the effectiveness of the proposed implicit Heaviside filter

Keywords： optimization     truncated hierarchical B-spline     isogeometric analysis     black and white designs     Heaviside filter    

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Parametric control of structural responses using an optimal passive tuned mass damper under stationary Gaussian

Min-Ho CHEY, Jae-Ung KIM

Frontiers of Structural and Civil Engineering 2012, Volume 6, Issue 3,   Pages 267-280 doi: 10.1007/s11709-012-0170-x

Abstract: parameters of a TMD, such as the optimal tuning frequency and optimal damping ratio, to stationary Gaussian

Keywords： tuned mass damper     parametric optimization     passive control     white noise     earthquake excitation    

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Title Author Date Type Operation

The Improving Characteristics of the Gradual Gaussian Multidimensional Pre-filter for Optical Flow Estimation

Fu Jun,Xu Weipu

Journal Article

ApproximateGaussian conjugacy: parametric recursive filtering under nonlinearity,multimodality, uncertainty, and constraint, and beyond

Tian-cheng LI, Jin-ya SU, Wei LIU, Juan M. CORCHADO

Journal Article

New decentralized control technique based on substructure and LQG approaches

Ying LEI, Ying LIN,

Journal Article

Simulation and analysis of grinding wheel based on Gaussian mixture model

Yulun CHI, Haolin LI

Journal Article

The engineering analysis of the multidimensional attribute

Xu Changshan,Qu Lei

Journal Article

Performance monitoring of non-gaussian chemical processes with modes-switching using globality-locality

Xin Peng, Yang Tang, Wenli Du, Feng Qian

Journal Article

Determination of effective stress parameter of unsaturated soils: A Gaussian process regression approach

Pijush Samui, Jagan J

Journal Article

Inverse Gaussian process-based corrosion growth modeling and its application in the reliability analysis

Hao QIN, Shenwei ZHANG, Wenxing ZHOU

Journal Article

Standard model of knowledge representation

Wensheng YIN

Journal Article

operation in the presence of different random noises and uncertainty: Implementation of generalized Gaussian

Nasser L. AZAD,Ahmad MOZAFFARI

Journal Article

prediction method for remaining useful life of lithium-ion batteries based on a neural network and Gaussian

Journal Article

Research on Multidimensional Connotations of Megaproject Construction Organization Citizenship Behavior

Qing-hua He,De-lei Yang,Yong-kui Li,Lan Luo

Journal Article

A knowledge push technology based on applicable probability matching and multidimensional context driving

Shu-you ZHANG, Ye GU, Xiao-jian LIU, Jian-rong TAN

Journal Article

Implicit Heaviside filter with high continuity based on suitably graded THB splines

Journal Article

Parametric control of structural responses using an optimal passive tuned mass damper under stationary Gaussian

Min-Ho CHEY, Jae-Ung KIM

Journal Article