The kernel density estimate/point distribution model (KDE-PDM) for statistical shape modeling of automotive stampings and assemblies
暂无分享,去创建一个
Bernard Rolfe | Michael Cardew-Hall | Timothy Matuszyk | B. Rolfe | M. Cardew-Hall | Timothy Matuszyk
[1] Leslie Greengard,et al. The Fast Gauss Transform , 1991, SIAM J. Sci. Comput..
[2] Timothy F. Cootes,et al. A mixture model for representing shape variation , 1999, Image Vis. Comput..
[3] Geoff A. W. West,et al. Geometric Variations: Analysis, Optimization and Control , 1997, Int. J. Pattern Recognit. Artif. Intell..
[4] Bernard Rolfe,et al. A Shape Error Metric for Sheet Metal Forming and Its Application to Springback , 2003 .
[5] S. Sain. Multivariate locally adaptive density estimation , 2002 .
[6] Yu Ding,et al. Fault Diagnosis of Multistage Manufacturing Processes by Using State Space Approach , 2002 .
[7] Darek Ceglarek,et al. Fixture Failure Diagnosis for Autobody Assembly Using Pattern Recognition , 1996 .
[8] Christopher J. Taylor,et al. Model-Based Interpretation of 3D Medical Images , 1993, BMVC.
[9] S.Y. Kung,et al. Adaptive Principal component EXtraction (APEX) and applications , 1994, IEEE Trans. Signal Process..
[10] J. Marron. Automatic smoothing parameter selection: A survey , 1988 .
[11] G. D. Herrin,et al. Understanding multivariate components – sheet metal assembly relationships using dimensional slow build studies , 2004 .
[12] Jin Hyun Park,et al. Process monitoring using a Gaussian mixture model via principal component analysis and discriminant analysis , 2004, Comput. Chem. Eng..
[13] David W. Scott,et al. Multivariate Density Estimation: Theory, Practice, and Visualization , 1992, Wiley Series in Probability and Statistics.
[14] Jaime A. Camelio,et al. Multiple Fault Diagnosis for Sheet Metal Fixtures Using Designated Component Analysis , 2004 .
[15] P. Hall. On Kullback-Leibler loss and density estimation , 1987 .
[16] Timothy F. Cootes,et al. Non-Linear Point Distribution Modelling using a Multi-Layer Perceptron , 1995, BMVC.
[17] Timothy F. Cootes,et al. Trainable method of parametric shape description , 1992, Image Vis. Comput..
[18] Chao He,et al. Probability Density Estimation from Optimally Condensed Data Samples , 2003, IEEE Trans. Pattern Anal. Mach. Intell..
[19] Jaime A. Camelio,et al. Sensor Placement for Effective Diagnosis of Multiple Faults in Fixturing of Compliant Parts , 2005 .
[20] Timothy F. Cootes,et al. A Non-linear Generalisation of PDMs using Polynomial Regression , 1994, BMVC.
[21] Daniel W. Apley,et al. A Factor-Analysis Method for Diagnosing Variability in Mulitvariate Manufacturing Processes , 2001, Technometrics.
[22] Timothy F. Cootes,et al. Active Shape Models-Their Training and Application , 1995, Comput. Vis. Image Underst..
[23] Allen Tannenbaum,et al. Statistical shape analysis using kernel PCA , 2006, Electronic Imaging.
[24] David J. Sandoz,et al. The application of principal component analysis and kernel density estimation to enhance process monitoring , 2000 .
[25] Xiaoyun Liao,et al. Wavelets-based method for variation analysis of non-rigid assemblies , 2005 .
[26] Xiaoyun Liao,et al. Employing fractals and FEM for detailed variation analysis of non-rigid assemblies , 2005 .
[27] S. Jack Hu,et al. Variation simulation for deformable sheet metal assemblies using finite element methods , 1997 .
[28] Horst Bunke,et al. Spatial computing : issues in vision, multimedia and visualization technologies , 1997 .
[29] L Sirovich,et al. Low-dimensional procedure for the characterization of human faces. , 1987, Journal of the Optical Society of America. A, Optics and image science.
[30] D. W. Scott,et al. Cross-Validation of Multivariate Densities , 1994 .
[31] Jaime A. Camelio,et al. Compliant Assembly Variation Analysis Using Component Geometric Covariance , 2004 .
[32] Zhongqin Lin,et al. Application of data mining and process knowledge discovery in sheet metal assembly dimensional variation diagnosis , 2002 .