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Volumn 15, Issue 2, 2014, Pages 91-106

A deep learning approach to the classification of 3D CAD models

Author keywords

CAD model classification; Design reuse; Machine learning; Neural network

Indexed keywords

COMPUTER AIDED DESIGN; LEARNING SYSTEMS; NEURAL NETWORKS; ARTIFICIAL INTELLIGENCE; COMPLEX NETWORKS;

EID: 84894244307     PISSN: 18691951     EISSN: 1869196X     Source Type: Journal    
DOI: 10.1631/jzus.C1300185     Document Type: Article
Times cited : (74)

References (36)
  • 1
    • 77957923643 scopus 로고    scopus 로고
    • Design reuse oriented partial retrieval of CAD models
    • 10.1016/j.cad.2010.07.002
    • Bai, J., Gao, S., Tang, W., et al., 2010. Design reuse oriented partial retrieval of CAD models. Comput.-Aided Des., 42(12):1069-1084. [doi:10.1016/j.cad.2010.07.002]
    • (2010) Comput.-Aided Des. , vol.42 , Issue.12 , pp. 1069-1084
    • Bai, J.1    Gao, S.2    Tang, W.3
  • 3
    • 69349090197 scopus 로고    scopus 로고
    • Learning deep architectures for AI
    • 10.1561/2200000006 1192.68503 2480723
    • Bengio, Y., 2009. Learning deep architectures for AI. Found. Trends Mach. Learn., 2(1):1-127. [doi:10.1561/2200000 006]
    • (2009) Found. Trends Mach. Learn. , vol.2 , Issue.1 , pp. 1-127
    • Bengio, Y.1
  • 4
    • 84879854889 scopus 로고    scopus 로고
    • Representation learning: A review and new perspectives
    • 10.1109/TPAMI.2013.50
    • Bengio, Y., Courville, A., Vincent, P., 2013. Representation learning: a review and new perspectives. IEEE Trans. Pattern Anal. Mach. Intell., 35(8):1798-1828. [doi:10. 1109/TPAMI.2013.50]
    • (2013) IEEE Trans. Pattern Anal. Mach. Intell. , vol.35 , Issue.8 , pp. 1798-1828
    • Bengio, Y.1    Courville, A.2    Vincent, P.3
  • 6
    • 33745158320 scopus 로고    scopus 로고
    • Content-based retrieval of 3D models
    • 10.1145/1126004.1126006
    • Bimbo, A.D., Pala, P., 2006. Content-based retrieval of 3D models. ACM Trans. Multim. Comput. Commun. Appl., 2(1):20-43. [doi:10.1145/1126004.1126006]
    • (2006) ACM Trans. Multim. Comput. Commun. Appl. , vol.2 , Issue.1 , pp. 20-43
    • Bimbo, A.D.1    Pala, P.2
  • 8
    • 84894904920 scopus 로고    scopus 로고
    • A semantic matching energy function for learning with multirelational data
    • 10.1007/s10994-013-5363-6 3149136
    • Bordes, A., Glorot, X., Weston, J., et al., 2014. A semantic matching energy function for learning with multirelational data. Mach. Learn., 94(2):233-259. [doi:10. 1007/s10994-013-5363-6]
    • (2014) Mach. Learn. , vol.94 , Issue.2 , pp. 233-259
    • Bordes, A.1    Glorot, X.2    Weston, J.3
  • 9
    • 36248933487 scopus 로고    scopus 로고
    • Three-Dimensional Model Shape Description and Retrieval Based on Light Field Descriptors
    • National Taiwan University Taiwan
    • Chen, D., 2003. Three-Dimensional Model Shape Description and Retrieval Based on Light Field Descriptors. PhD Thesis, National Taiwan University, Taiwan.
    • (2003) PhD Thesis
    • Chen, D.1
  • 10
    • 0141504437 scopus 로고    scopus 로고
    • On visual similarity based 3D model retrieval
    • 10.1111/1467-8659.00669
    • Chen, D., Tian, X., Shen, Y., et al., 2003. On visual similarity based 3D model retrieval. Comput. Graph. Forum, 22(3):223-232. [doi:10.1111/1467-8659. 00669]
    • (2003) Comput. Graph. Forum , vol.22 , Issue.3 , pp. 223-232
    • Chen, D.1    Tian, X.2    Shen, Y.3
  • 11
    • 0043126911 scopus 로고    scopus 로고
    • Logistic regression and artificial neural network classification models: A methodology review
    • 10.1016/S1532-0464(03)00034-0
    • Dreiseitl, S., Ohno-Machado, L., 2002. Logistic regression and artificial neural network classification models: a methodology review. J. Biomed. Inform., 35(5):352-359. [doi:10.1016/S1532-0464(03)00034-0]
    • (2002) J. Biomed. Inform. , vol.35 , Issue.5 , pp. 352-359
    • Dreiseitl, S.1    Ohno-Machado, L.2
  • 13
    • 23144446338 scopus 로고    scopus 로고
    • Structural damage detection using neural network with learning rate improvement
    • 10.1016/j.compstruc.2005.02.029
    • Fang, X., Luo, H., Tang, J., 2005. Structural damage detection using neural network with learning rate improvement. Comput. & Struct., 83(25-26):2150-2161. [doi:10.1016/j. compstruc.2005.02.029]
    • (2005) Comput. & Struct. , vol.83 , Issue.25-26 , pp. 2150-2161
    • Fang, X.1    Luo, H.2    Tang, J.3
  • 15
    • 0020330776 scopus 로고
    • The mechanization of design and manufacturing
    • 10.1038/scientificamerican0982-114
    • Gunn, T.G., 1982. The mechanization of design and manufacturing. Sci. Am., 247:114-130. [doi:10.1038/scientifica merican0982-114]
    • (1982) Sci. Am. , vol.247 , pp. 114-130
    • Gunn, T.G.1
  • 17
    • 33746600649 scopus 로고    scopus 로고
    • Reducing the dimensionality of data with neural networks
    • 10.1126/science.1127647 1226.68083 2242509
    • Hinton, G.E., Salakhutdinov, R.R., 2006. Reducing the dimensionality of data with neural networks. Science, 313(5786):504-507. [doi:10.1126/science. 1127647]
    • (2006) Science , vol.313 , Issue.5786 , pp. 504-507
    • Hinton, G.E.1    Salakhutdinov, R.R.2
  • 18
    • 33751007699 scopus 로고    scopus 로고
    • SVM-based semantic clustering and retrieval of a 3D model database
    • Hou, S., Lou, K., Ramani, K., 2005. SVM-based semantic clustering and retrieval of a 3D model database. Comput. Aided Des. Appl., 2(1-4):155-164.
    • (2005) Comput. Aided Des. Appl. , vol.2 , Issue.1-4 , pp. 155-164
    • Hou, S.1    Lou, K.2    Ramani, K.3
  • 19
    • 33845597145 scopus 로고    scopus 로고
    • Large-scale learning with SVM and convolutional nets for generic object categorization
    • 10.1007/11754336
    • Huang, F.J., LeCun, Y., 2006. Large-scale learning with SVM and convolutional nets for generic object categorization. IEEE Computer Society Conf. on Computer Vision and Pattern Recognition, p.284-291. [doi:10.1109/CVPR. 2006.164]
    • (2006) IEEE Computer Society Conf. on Computer Vision and Pattern Recognition , pp. 284-291
    • Huang, F.J.1    Lecun, Y.2
  • 20
    • 34548683541 scopus 로고    scopus 로고
    • Content-based classification of CAD models with supervised learning
    • Ip, C.Y., Regli, W.C., 2005a. Content-based classification of CAD models with supervised learning. Comput. Aided Des. Appl., 2(5):609-617.
    • (2005) Comput. Aided Des. Appl. , vol.2 , Issue.5 , pp. 609-617
    • Ip, C.Y.1    Regli, W.C.2
  • 21
    • 33846107168 scopus 로고    scopus 로고
    • Manufacturing classification of CAD models using curvature and SVMs
    • Ip, C.Y., Regli, W.C., 2005b. Manufacturing classification of CAD models using curvature and SVMs. Int. Conf. on Shape Modeling and Applications, p.361-365. [doi:10. 1109/SMI.2005.27]
    • (2005) Int. Conf. on Shape Modeling and Applications , pp. 361-365
    • Ip, C.Y.1    Regli, W.C.2
  • 23
    • 15744375643 scopus 로고    scopus 로고
    • Three-dimensional shape searching: State-of-the-art review and future trends
    • 10.1016/j.cad.2004.07.002
    • Iyer, N., Jayanti, S., Lou, K., et al., 2005. Three-dimensional shape searching: state-of-the-art review and future trends. Comput.-Aided Des., 37(5):509-530. [doi:10.1016/j.cad. 2004.07.002]
    • (2005) Comput.-Aided Des. , vol.37 , Issue.5 , pp. 509-530
    • Iyer, N.1    Jayanti, S.2    Lou, K.3
  • 26
    • 59449087310 scopus 로고    scopus 로고
    • Exploring strategies for training deep neural networks
    • 1235.68168
    • Larochelle, H., Bengio, Y., Louradour, J., et al., 2009. Exploring strategies for training deep neural networks. J. Mach. Learn. Res., 10(1):1-40.
    • (2009) J. Mach. Learn. Res. , vol.10 , Issue.1 , pp. 1-40
    • Larochelle, H.1    Bengio, Y.2    Louradour, J.3
  • 28
    • 0032099978 scopus 로고    scopus 로고
    • Automatic early stopping using cross validation: Quantifying the criteria
    • 10.1016/S0893-6080(98)00010-0
    • Prechelt, L., 1998. Automatic early stopping using cross validation: quantifying the criteria. Neur. Networks, 11(4):761-767. [doi:10.1016/S0893- 6080(98)00010-0]
    • (1998) Neur. Networks , vol.11 , Issue.4 , pp. 761-767
    • Prechelt, L.1
  • 30
    • 0027662338 scopus 로고
    • Pruning algorithms - A survey
    • 10.1109/72.248452
    • Reed, R., 1993. Pruning algorithms - a survey. IEEE Trans. Neur. Networks, 4(5):740-747. [doi:10.1109/72.248452]
    • (1993) IEEE Trans. Neur. Networks , vol.4 , Issue.5 , pp. 740-747
    • Reed, R.1
  • 32
    • 84894276425 scopus 로고    scopus 로고
    • Shape matching and retrieval based on multiple feature descriptors
    • Wang, W., Liu, X., Liu, L., 2013. Shape matching and retrieval based on multiple feature descriptors. Comput. Aided Draft. Des. Manuf., 23(1):60-67.
    • (2013) Comput. Aided Draft. Des. Manuf. , vol.23 , Issue.1 , pp. 60-67
    • Wang, W.1    Liu, X.2    Liu, L.3
  • 34
    • 0029659074 scopus 로고    scopus 로고
    • A neural network approach to the classification of 3D prismatic parts
    • 10.1007/BF01845691
    • Wu, M.C., Jen, S.R., 1996. A neural network approach to the classification of 3D prismatic parts. Int. J. Adv. Manuf. Technol., 11(5):325-335. [doi:10.1007/BF01845691]
    • (1996) Int. J. Adv. Manuf. Technol. , vol.11 , Issue.5 , pp. 325-335
    • Wu, M.C.1    Jen, S.R.2
  • 35
    • 34547435898 scopus 로고    scopus 로고
    • On early stopping in gradient descent learning
    • 10.1007/s00365-006-0663-2 1125.62035 2327601
    • Yao, Y., Rosasco, L., Caponnetto, A., 2007. On early stopping in gradient descent learning. Constr. Approx., 26(2):289-315. [doi:10.1007/s00365-006-0663- 2]
    • (2007) Constr. Approx. , vol.26 , Issue.2 , pp. 289-315
    • Yao, Y.1    Rosasco, L.2    Caponnetto, A.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.