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Volumn , Issue , 2004, Pages 308-315

Neural mesh ensembles

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; IMAGE RECONSTRUCTION; LEARNING SYSTEMS; OPTIMIZATION; PROBLEM SOLVING; VISUALIZATION;

EID: 16244381459     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/TDPVT.2004.1335216     Document Type: Conference Paper
Times cited : (13)

References (29)
  • 2
    • 0029201534 scopus 로고
    • Automatic reconstruction of surfaces and scalar fields from 3D scans
    • C. L. Bajaj, F. Bernardini, and G. Xu. Automatic reconstruction of surfaces and scalar fields from 3D scans. In SIGGRAPH 95, Conference Proceedings, pages 109-118, 1995.
    • (1995) SIGGRAPH 95, Conference Proceedings , pp. 109-118
    • Bajaj, C.L.1    Bernardini, F.2    Xu, G.3
  • 3
    • 84952893089 scopus 로고    scopus 로고
    • Adaptive reconstruction of freeform objects with 3D SOM neural network grids
    • J. Barhak and A. Fischer. Adaptive reconstruction of freeform objects with 3D SOM neural network grids. In Pacific Graphics 01, Conference Proceedings, pages 97-105, 2001.
    • (2001) Pacific Graphics 01, Conference Proceedings , pp. 97-105
    • Barhak, J.1    Fischer, A.2
  • 6
    • 0004085318 scopus 로고
    • Growing cell structures - A self-organizing network for unsupervised and supervised learning
    • International Computer Science Institute, Berkeley
    • B. Fritzke. Growing cell structures - a self-organizing network for unsupervised and supervised learning. Technical Report ICSTR-93-026, International Computer Science Institute, Berkeley, 1993.
    • (1993) Technical Report , vol.ICSTR-93-026
    • Fritzke, B.1
  • 7
    • 0000460712 scopus 로고
    • Visualization of multidimensional data sets using a neural network
    • M. Gross and F. Seibert. Visualization of multidimensional data sets using a neural network. The Visual Computer, 10(3):145-159, 1993.
    • (1993) The Visual Computer , vol.10 , Issue.3 , pp. 145-159
    • Gross, M.1    Seibert, F.2
  • 8
    • 1342319543 scopus 로고    scopus 로고
    • Free-form modelling surfaces for scattered data by neural networks
    • M. Hoffmann and L. Várady. Free-form modelling surfaces for scattered data by neural networks. Journal for Geometry and Graphics, 1:1-6, 1998.
    • (1998) Journal for Geometry and Graphics , vol.1 , pp. 1-6
    • Hoffmann, M.1    Várady, L.2
  • 11
    • 16244372621 scopus 로고    scopus 로고
    • Neural meshes: Statistical learning methods in surface reconstruction
    • Max-Planck-Institut für Informatik, Saarbrücken, April
    • I. Ivrissimtzis, W.-K. Jeong, and H.-P. Seidel. Neural meshes: Statistical learning methods in surface reconstruction. Technical Report MPI-I-2003-4-007, Max-Planck-Institut für Informatik, Saarbrücken, April 2003.
    • (2003) Technical Report , vol.MPI-I-2003-4-007
    • Ivrissimtzis, I.1    Jeong, W.-K.2    Seidel, H.-P.3
  • 16
    • 0020068152 scopus 로고
    • Self-organized formation of topologically correct feature maps
    • T. Kohonen. Self-organized formation of topologically correct feature maps. Biological Cybernetics, 43:59-69, 1982.
    • (1982) Biological Cybernetics , vol.43 , pp. 59-69
    • Kohonen, T.1
  • 18
    • 0023381475 scopus 로고
    • Marching cubes: A high resolution 3D surface construction algoritm
    • W. E. Lorensen and H. E. Cline. Marching cubes: A high resolution 3D surface construction algoritm. Computer graphics, 21(4):163-168, 1987.
    • (1987) Computer Graphics , vol.21 , Issue.4 , pp. 163-168
    • Lorensen, W.E.1    Cline, H.E.2
  • 20
    • 85156192015 scopus 로고    scopus 로고
    • Generating accurate and diverse members of a neural-network ensemble
    • The MIT Press
    • D. W. Opitz and J. W. Shavlik. Generating accurate and diverse members of a neural-network ensemble. In Advances in Neural Information Processing Systems, volume 8, pages 535-541. The MIT Press, 1996.
    • (1996) Advances in Neural Information Processing Systems , vol.8 , pp. 535-541
    • Opitz, D.W.1    Shavlik, J.W.2
  • 22
    • 0025448521 scopus 로고
    • The strength of weak learnability
    • R. E. Schapire. The strength of weak learnability. Machine Learning, 5:197-227, 1990.
    • (1990) Machine Learning , vol.5 , pp. 197-227
    • Schapire, R.E.1
  • 28
    • 0010924347 scopus 로고    scopus 로고
    • Improved freeform modelling of scattered data by dynamic neural networks
    • L. Várady, M. Hoffmann, and E. Kovács. Improved freeform modelling of scattered data by dynamic neural networks. Journal for Geometry and Graphics, 3:177-181, 1999.
    • (1999) Journal for Geometry and Graphics , vol.3 , pp. 177-181
    • Várady, L.1    Hoffmann, M.2    Kovács, E.3
  • 29
    • 0002667810 scopus 로고    scopus 로고
    • Surface reconstruction from unorganized points using self-organizing neural networks
    • Y. Yu. Surface reconstruction from unorganized points using self-organizing neural networks. In IEEE Visualization 99, Conference Proceedings, pages 61-64, 1999.
    • (1999) IEEE Visualization 99, Conference Proceedings , pp. 61-64
    • Yu, Y.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.