메뉴 건너뛰기




Volumn , Issue , 2011, Pages 622-629

AutoIncSFA and vision-based developmental learning for humanoid robots

Author keywords

[No Author keywords available]

Indexed keywords

COMPACT CODE; DEVELOPMENTAL LEARNING; HIGH-DIMENSIONAL; HUMANOID ROBOT; INPUT STREAMS; SENSORY INPUT; SPATIO-TEMPORAL ABSTRACTION; VISION BASED;

EID: 84856318058     PISSN: 21640572     EISSN: 21640580     Source Type: Conference Proceeding    
DOI: 10.1109/Humanoids.2011.6100865     Document Type: Conference Paper
Times cited : (6)

References (33)
  • 5
    • 84901391337 scopus 로고    scopus 로고
    • Artificial curiosity based on discovering novel algorithmic predictability through coevolution
    • (P. Angeline, Z. Michalewicz, M. Schoenauer, X. Yao, and Z. Zalzala, eds.), IEEE Press
    • J. Schmidhuber, "Artificial curiosity based on discovering novel algorithmic predictability through coevolution," in Congress on Evolutionary Computation (P. Angeline, Z. Michalewicz, M. Schoenauer, X. Yao, and Z. Zalzala, eds.), pp. 1612-1618, IEEE Press, 1999.
    • (1999) Congress on Evolutionary Computation , pp. 1612-1618
    • Schmidhuber, J.1
  • 6
    • 33745616086 scopus 로고    scopus 로고
    • Developmental robotics, optimal artificial curiosity, creativity, music, and the fine arts
    • DOI 10.1080/09540090600768658, PII W3795157767
    • J. Schmidhuber, "Developmental robotics, optimal artificial curiosity, creativity, music, and the fine arts," Connection Science, vol. 18, no. 2, pp. 173-187, 2006. (Pubitemid 43982721)
    • (2006) Connection Science , vol.18 , Issue.2 , pp. 173-187
    • Schmidhuber, J.1
  • 7
    • 77956578648 scopus 로고    scopus 로고
    • Formal theory of creativity, fun, and intrinsic motivation (1990-2010)
    • J. Schmidhuber, "Formal theory of creativity, fun, and intrinsic motivation (1990-2010)," IEEE Transactions on Autonomous Mental Development, vol. 2, no. 3, pp. 230 -247, 2010.
    • (2010) IEEE Transactions on Autonomous Mental Development , vol.2 , Issue.3 , pp. 230-247
    • Schmidhuber, J.1
  • 8
    • 0002834189 scopus 로고
    • Autoencoders, minimum description length, and helmholtz free energy
    • Morgan Kaufmann
    • G. E. Hinton and R. S. Zemel, "Autoencoders, minimum description length, and helmholtz free energy," in Advances in Neural Information Processing Systems 6, pp. 3-10, Morgan Kaufmann, 1994.
    • (1994) Advances in Neural Information Processing Systems 6 , pp. 3-10
    • Hinton, G.E.1    Zemel, R.S.2
  • 9
    • 84865105130 scopus 로고    scopus 로고
    • Incremental slow feature analysis
    • V. R. Kompella, M. D. Luciw, and J. Schmidhuber, "Incremental slow feature analysis," in IJCAI, pp. 1354-1359, 2011.
    • (2011) IJCAI , pp. 1354-1359
    • Kompella, V.R.1    Luciw, M.D.2    Schmidhuber, J.3
  • 10
    • 78049417739 scopus 로고    scopus 로고
    • Reinforcement learning on slow features of high-dimensional input streams
    • R. Legenstein, N. Wilbert, and L. Wiskott, "Reinforcement learning on slow features of high-dimensional input streams," PLoS Computational Biology, vol. 6, no. 8, p. e1000894, 2010.
    • (2010) PLoS Computational Biology , vol.6 , Issue.8
    • Legenstein, R.1    Wilbert, N.2    Wiskott, L.3
  • 11
    • 34548412214 scopus 로고    scopus 로고
    • Slowness and sparseness lead to place, head-direction, and spatial-view cells
    • M. Franzius, H. Sprekeler, and L. Wiskott, "Slowness and sparseness lead to place, head-direction, and spatial-view cells," PLoS Computational Biology, vol. 3, no. 8, p. e166, 2007.
    • (2007) PLoS Computational Biology , vol.3 , Issue.8
    • Franzius, M.1    Sprekeler, H.2    Wiskott, L.3
  • 12
    • 0036546660 scopus 로고    scopus 로고
    • Slow feature analysis: Unsupervised learning of invariances
    • L. Wiskott and T. Sejnowski, "Slow feature analysis: Unsupervised learning of invariances," Neural Computation, vol. 14, no. 4, pp. 715-770, 2002.
    • (2002) Neural Computation , vol.14 , Issue.4 , pp. 715-770
    • Wiskott, L.1    Sejnowski, T.2
  • 13
    • 0009305378 scopus 로고
    • Discovering predictable classifications
    • J. Schmidhuber and D. Prelinger, "Discovering predictable classifications,"Neural Computation, vol. 5, no. 4, pp. 625-635, 1993.
    • (1993) Neural Computation , vol.5 , Issue.4 , pp. 625-635
    • Schmidhuber, J.1    Prelinger, D.2
  • 15
    • 0041471247 scopus 로고    scopus 로고
    • Candid covariance-free incremental principal component analysis
    • J. Weng, Y. Zhang, and W. Hwang, "Candid covariance-free incremental principal component analysis," Pattern Analysis and Machine Intelligence, vol. 25, no. 8, pp. 1034-1040, 2003.
    • (2003) Pattern Analysis and Machine Intelligence , vol.25 , Issue.8 , pp. 1034-1040
    • Weng, J.1    Zhang, Y.2    Hwang, W.3
  • 16
    • 0026954958 scopus 로고
    • Principal components, minor components, and linear neural networks
    • E. Oja, "Principal components, minor components, and linear neural networks," Neural Networks, vol. 5, no. 6, pp. 927-935, 1992. (Pubitemid 23581250)
    • (1992) Neural Networks , vol.5 , Issue.6 , pp. 927-935
    • Oja, E.1
  • 17
    • 0035362693 scopus 로고    scopus 로고
    • Sequential extraction of minor components
    • T. Chen, S. Amari, and N. Murata, "Sequential extraction of minor components," Neural Processing Letters, vol. 13, no. 3, pp. 195-201, 2001.
    • (2001) Neural Processing Letters , vol.13 , Issue.3 , pp. 195-201
    • Chen, T.1    Amari, S.2    Murata, N.3
  • 18
    • 34548456303 scopus 로고    scopus 로고
    • Convergence analysis of a simple minor component analysis algorithm
    • DOI 10.1016/j.neunet.2007.07.001, PII S0893608007000962
    • D. Peng, Z. Yi, and W. Luo, "Convergence analysis of a simple minor component analysis algorithm," Neural Networks, vol. 20, no. 7, pp. 842-850, 2007. (Pubitemid 47361678)
    • (2007) Neural Networks , vol.20 , Issue.7 , pp. 842-850
    • Peng, D.1    Yi, Z.2    Luo, W.3
  • 20
    • 0033114102 scopus 로고    scopus 로고
    • Feature extraction through LOCOCODE
    • S. Hochreiter and J. Schmidhuber, "Feature extraction through LOCOCODE,"Neural Computation, vol. 11, no. 3, pp. 679-714, 1999.
    • (1999) Neural Computation , vol.11 , Issue.3 , pp. 679-714
    • Hochreiter, S.1    Schmidhuber, J.2
  • 23
    • 0030779611 scopus 로고    scopus 로고
    • Sparse coding with an overcomplete basis set: A strategy employed by v1?
    • December
    • B. A. Olshausen and D. J. Field, "Sparse coding with an overcomplete basis set: A strategy employed by v1?," Vision Research, vol. 37, pp. 3311-3325, December 1997.
    • (1997) Vision Research , vol.37 , pp. 3311-3325
    • Olshausen, B.A.1    Field, D.J.2
  • 24
    • 7244238594 scopus 로고    scopus 로고
    • Nonlinear pca: A new hierarchical approach
    • M. Scholz and R. Vigário, "Nonlinear pca: a new hierarchical approach,"in ESANN, pp. 439-444, 2002.
    • (2002) ESANN , pp. 439-444
    • Scholz, M.1    Vigário, R.2
  • 28
    • 70349309538 scopus 로고    scopus 로고
    • Driven by compression progress: A simple principle explains essential aspects of subjective beauty, novelty, surprise, interestingness, attention, curiosity, creativity, art, science, music, jokes
    • Anticipatory Behavior in Adaptive Learning Systems. From Psychological Theories to Artificial Cognitive Systems (G. Pezzulo, M. V. Butz, O. Sigaud, and G. Baldassarre, eds.), Springer
    • J. Schmidhuber, "Driven by compression progress: A simple principle explains essential aspects of subjective beauty, novelty, surprise, interestingness, attention, curiosity, creativity, art, science, music, jokes," in Anticipatory Behavior in Adaptive Learning Systems. From Psychological Theories to Artificial Cognitive Systems (G. Pezzulo, M. V. Butz, O. Sigaud, and G. Baldassarre, eds.), vol. 5499 of LNCS, pp. 48-76, Springer, 2009.
    • (2009) LNCS , vol.5499 , pp. 48-76
    • Schmidhuber, J.1
  • 29
    • 0003274202 scopus 로고
    • Learning to generate sub-goals for action sequences
    • (T. Kohonen, K. Mäkisara, O. Simula, and J. Kangas, eds.), Elsevier Science Publishers B.V., North-Holland
    • J. Schmidhuber, "Learning to generate sub-goals for action sequences,"in Artificial Neural Networks (T. Kohonen, K. Mäkisara, O. Simula, and J. Kangas, eds.), pp. 967-972, Elsevier Science Publishers B.V., North-Holland, 1991.
    • (1991) Artificial Neural Networks , pp. 967-972
    • Schmidhuber, J.1
  • 30
    • 10844252596 scopus 로고
    • Incremental development of complex behaviors through automatic construction of sensory-motor hierarchies
    • (L. Birnbaum and G. Collins, eds.), Morgan Kaufmann
    • M. B. Ring, "Incremental development of complex behaviors through automatic construction of sensory-motor hierarchies," in Machine Learning: Proceedings of the Eighth International Workshop (L. Birnbaum and G. Collins, eds.), pp. 343-347, Morgan Kaufmann, 1991.
    • (1991) Machine Learning: Proceedings of the Eighth International Workshop , pp. 343-347
    • Ring, M.B.1
  • 32
    • 33845876447 scopus 로고    scopus 로고
    • Hierarchical reinforcement learning based on subgoal discovery and subpolicy specialization
    • (F. G. et al., ed.), (Amsterdam, NL), IOS Press
    • B. Bakker and J. Schmidhuber, "Hierarchical reinforcement learning based on subgoal discovery and subpolicy specialization," in Proc. 8th Conference on Intelligent Autonomous Systems IAS-8 (F. G. et al., ed.), (Amsterdam, NL), pp. 438-445, IOS Press, 2004.
    • (2004) Proc. 8th Conference on Intelligent Autonomous Systems IAS-8 , pp. 438-445
    • Bakker, B.1    Schmidhuber, J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.