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Volumn 17, Issue 5-6, 2008, Pages 549-568

A modular neural network applied to image transformation and mental images

Author keywords

Image transformation; Levenberg Marquardt method; Mental assemblage; Mental images; Mental rotation; Modular neural networks

Indexed keywords


EID: 52349123687     PISSN: 09410643     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00521-007-0152-4     Document Type: Article
Times cited : (7)

References (36)
  • 3
    • 0017138283 scopus 로고
    • Demonstration of a mental analog of an external rotation
    • LA Cooper 1976 Demonstration of a mental analog of an external rotation Percept Psychophys 19 296 302
    • (1976) Percept Psychophys , vol.19 , pp. 296-302
    • Cooper, L.A.1
  • 4
    • 0002975069 scopus 로고
    • Chronometric studies of the rotation of mental images
    • Academic New York
    • Cooper LA, Shepard RN (1973) Chronometric studies of the rotation of mental images. In: Visual information processing. Academic, New York, pp 75-176
    • (1973) Visual Information Processing , pp. 75-176
    • Cooper, L.A.1    Shepard, R.N.2
  • 6
    • 0015231889 scopus 로고
    • Mental rotation of three-dimensional objects
    • RN Shepard J Metzler 1971 Mental rotation of three-dimensional objects Science 171 701 703
    • (1971) Science , vol.171 , pp. 701-703
    • Shepard, R.N.1    Metzler, J.2
  • 7
    • 0031171679 scopus 로고    scopus 로고
    • Optimal linear combinations of neural networks
    • S Hashem 1997 Optimal linear combinations of neural networks Neural Netw 10 599 614
    • (1997) Neural Netw , vol.10 , pp. 599-614
    • Hashem, S.1
  • 11
    • 0033253694 scopus 로고    scopus 로고
    • A modular neural network architecture for pattern classification based on different feature sets
    • 6
    • K Chen H Chi 1999 A modular neural network architecture for pattern classification based on different feature sets Int J Neural Syst 9 6 563 581
    • (1999) Int J Neural Syst , vol.9 , pp. 563-581
    • Chen, K.1    Chi, H.2
  • 12
    • 0033213755 scopus 로고    scopus 로고
    • Organization of face and object recognition in modular neural network models
    • MN Dailey GW Cottrell 1999 Organization of face and object recognition in modular neural network models Neural Netw 12 1053 1073
    • (1999) Neural Netw , vol.12 , pp. 1053-1073
    • Dailey, M.N.1    Cottrell, G.W.2
  • 14
    • 0024732792 scopus 로고
    • Connectionist learning procedures
    • GE Hinton 1989 Connectionist learning procedures Artif Intell 40 185 234
    • (1989) Artif Intell , vol.40 , pp. 185-234
    • Hinton, G.E.1
  • 15
    • 0000169232 scopus 로고
    • An algorithm for least-squares estimation of nonlinear parameters
    • D Marquardt 1963 An algorithm for least-squares estimation of nonlinear parameters SIAM J Appl Math 11 431 441
    • (1963) SIAM J Appl Math , vol.11 , pp. 431-441
    • Marquardt, D.1
  • 17
    • 0019152630 scopus 로고
    • Neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position
    • K Fukushima 1980 Neocognitron: a self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position Biol Cybern 36 193 202
    • (1980) Biol Cybern , vol.36 , pp. 193-202
    • Fukushima, K.1
  • 18
    • 0020970740 scopus 로고
    • Neocognitron: A neural network model for a mechanism of visual pattern recognition
    • 5
    • K Fukushima S Miyake T Ito 1983 Neocognitron: a neural network model for a mechanism of visual pattern recognition IEEE Trans Syst Man Cybern 13 5 826 834
    • (1983) IEEE Trans Syst Man Cybern , vol.13 , pp. 826-834
    • Fukushima, K.1    Miyake, S.2    Ito, T.3
  • 19
    • 0023846591 scopus 로고
    • Neocognitron: A hierarchical neural network capable of visual pattern recognition
    • K Fukushima 1988 Neocognitron: a hierarchical neural network capable of visual pattern recognition Neural Netw 1 119 130
    • (1988) Neural Netw , vol.1 , pp. 119-130
    • Fukushima, K.1
  • 20
    • 0033854124 scopus 로고    scopus 로고
    • How hallucinations may arise from brain mechanisms of learning, attention, and volition
    • S Grossberg 2000 How hallucinations may arise from brain mechanisms of learning, attention, and volition J Int Neuropsychol Soc 6 583 592
    • (2000) J Int Neuropsychol Soc , vol.6 , pp. 583-592
    • Grossberg, S.1
  • 21
    • 0141632323 scopus 로고    scopus 로고
    • How does the cerebral cortex work? Development, learning, attention, and 3D vision by laminar circuits of visual cortex
    • S Grossberg 2003 How does the cerebral cortex work? Development, learning, attention, and 3D vision by laminar circuits of visual cortex Behav Cogn Neurosci Rev 2 47 76
    • (2003) Behav Cogn Neurosci Rev , vol.2 , pp. 47-76
    • Grossberg, S.1
  • 22
    • 84943261995 scopus 로고
    • 3D motion estimation using single perspective sparse range data via surface reconstruction neural networks
    • JN Hwang YH Tseng 1993 3D motion estimation using single perspective sparse range data via surface reconstruction neural networks IEEE Int Conf Neural Netw 3 1696 1701
    • (1993) IEEE Int Conf Neural Netw , vol.3 , pp. 1696-1701
    • Hwang, J.N.1    Tseng, Y.H.2
  • 25
    • 0037333638 scopus 로고    scopus 로고
    • Return of the mental image: Are there really pictures in the brain?
    • 3
    • Z Pylyshyn 2003 Return of the mental image: are there really pictures in the brain? Trends Cognit Sci 7 3 113 118
    • (2003) Trends Cognit Sci , vol.7 , pp. 113-118
    • Pylyshyn, Z.1
  • 26
    • 0003346575 scopus 로고
    • From basic network principles to neural architecture: Emergence of spatial-opponent cells
    • R Linsker 1986 From basic network principles to neural architecture: emergence of spatial-opponent cells Proc Natl Acad Sci USA 83 7508 7512
    • (1986) Proc Natl Acad Sci USA , vol.83 , pp. 7508-7512
    • Linsker, R.1
  • 27
    • 0023981750 scopus 로고
    • Self-organization in a perceptual network
    • 3
    • R Linsker 1988 Self-organization in a perceptual network IEEE Comput 21 3 105 117
    • (1988) IEEE Comput , vol.21 , pp. 105-117
    • Linsker, R.1
  • 30
    • 0036132148 scopus 로고    scopus 로고
    • A class-modular feedforward neural network for handwriting recognition
    • IS Oh CY Suen 2002 A class-modular feedforward neural network for handwriting recognition Pattern Recognit 35 229 244
    • (2002) Pattern Recognit , vol.35 , pp. 229-244
    • Oh, I.S.1    Suen, C.Y.2
  • 31
    • 84935413199 scopus 로고
    • Modular construction of time-delay neural networks for speech recognition
    • A Waibel 1989 Modular construction of time-delay neural networks for speech recognition Neural Comput 1 39 46
    • (1989) Neural Comput , vol.1 , pp. 39-46
    • Waibel, A.1
  • 33
    • 0031996853 scopus 로고    scopus 로고
    • Modular neural network classifiers: A comparative study
    • G Auda M Kamel 1998 Modular neural network classifiers: a comparative study J Intell Robot Syst 21 117 129
    • (1998) J Intell Robot Syst , vol.21 , pp. 117-129
    • Auda, G.1    Kamel, M.2
  • 34
    • 0035680234 scopus 로고    scopus 로고
    • On the fundamental limits of reconstruction-based super-resolution algorithms
    • 8-14
    • Z Lin HY Shum 2001 On the fundamental limits of reconstruction-based super-resolution algorithms Proc IEEE Comput Vis Pattern Recognit 1 8-14 1171 1176
    • (2001) Proc IEEE Comput Vis Pattern Recognit , vol.1 , pp. 1171-1176
    • Lin, Z.1    Shum, H.Y.2
  • 35
  • 36
    • 13144294059 scopus 로고    scopus 로고
    • Memory retention-the synaptic stability versus plasticity dilemma
    • 2
    • WC Abraham A Robins 2005 Memory retention-the synaptic stability versus plasticity dilemma Trends Neurosci 28 2 73 78
    • (2005) Trends Neurosci , vol.28 , pp. 73-78
    • Abraham, W.C.1    Robins, A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.