메뉴 건너뛰기




Volumn , Issue , 2012, Pages 671-676

A Behavioral Investigation of Dimensionality Reduction

Author keywords

dimensionality reduction; psychophysics; unsupervised machine learning

Indexed keywords

DATA REDUCTION; MACHINE LEARNING; QUALITY CONTROL;

EID: 85139178562     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (35)

References (26)
  • 1
    • 51749107030 scopus 로고    scopus 로고
    • reCAPTCHA: Human-Based Character Recognition via Web Security Measures
    • von
    • Ahn, L. von, Maurer, B., McMillen, C., Abraham, D., & Blum, M. (2008). reCAPTCHA: Human-Based Character Recognition via Web Security Measures. Science, 321(5895), 1465-1468.
    • (2008) Science , vol.321 , Issue.5895 , pp. 1465-1468
    • Ahn, L.1    Maurer, B.2    McMillen, C.3    Abraham, D.4    Blum, M.5
  • 2
    • 84880203756 scopus 로고    scopus 로고
    • Laplacian Eigenmaps and spectral techniques for embedding and clustering
    • Cambridge, MA, USA: The MIT Press
    • Belkin, M., & Niyogi, P. (2002). Laplacian Eigenmaps and spectral techniques for embedding and clustering. In Advances in neural information processing systems (Vol. 14, pp. 585–591). Cambridge, MA, USA: The MIT Press.
    • (2002) Advances in neural information processing systems , vol.14 , pp. 585-591
    • Belkin, M.1    Niyogi, P.2
  • 3
    • 0035789317 scopus 로고    scopus 로고
    • Random projection in dimensionality reduction: applications to image and text data
    • th acm sigkdd (pp. 245–250).
    • (2001) th acm sigkdd , pp. 245-250
    • Bingham, E.1    Mannila, H.2
  • 5
    • 3343019470 scopus 로고
    • Measuring nominal scale agreement among many raters
    • Fleiss, J. (1971). Measuring nominal scale agreement among many raters. Psychological Bulletin, 76(5), 378-382.
    • (1971) Psychological Bulletin , vol.76 , Issue.5 , pp. 378-382
    • Fleiss, J.1
  • 6
    • 0016102310 scopus 로고
    • A projection pursuit algorithm for exploratory data analysis
    • Friedman, J., & Tukey, J. (1974). A projection pursuit algorithm for exploratory data analysis. IEEE Transactions on Computers, 23, 881-890.
    • (1974) IEEE Transactions on Computers , vol.23 , pp. 881-890
    • Friedman, J.1    Tukey, J.2
  • 7
    • 85091407160 scopus 로고    scopus 로고
    • A tour through the visualization zoo
    • Heer, J., Bostock, M., & Ogievetsky, V. (2010). A tour through the visualization zoo. ACM Queue, 8(5).
    • (2010) ACM Queue , vol.8 , Issue.5
    • Heer, J.1    Bostock, M.2    Ogievetsky, V.3
  • 9
    • 0017360990 scopus 로고
    • The measurement of observer agreement for categorical data
    • (March)
    • Landis, J. R., & Koch, G. G. (1977, March). The measurement of observer agreement for categorical data. Biometrics, 33(1), 159–174.
    • (1977) Biometrics , vol.33 , Issue.1 , pp. 159-174
    • Landis, J. R.1    Koch, G. G.2
  • 10
    • 27844605876 scopus 로고    scopus 로고
    • Probabilistic non-linear principal component analysis with Gaussian process latent variable models
    • Lawrence, N. (2005). Probabilistic non-linear principal component analysis with Gaussian process latent variable models. Journal of Machine Learning Research, 6(Nov), 1783–1816.
    • (2005) Journal of Machine Learning Research , vol.6 , Issue.Nov , pp. 1783-1816
    • Lawrence, N.1
  • 13
    • 34247990255 scopus 로고
    • On the kolmogorov-smirnov test for normality with mean and variance unknown
    • Lilliefors, H. (1967). On the kolmogorov-smirnov test for normality with mean and variance unknown. Journal of the American Statistical Association, 62, 399–402.
    • (1967) Journal of the American Statistical Association , vol.62 , pp. 399-402
    • Lilliefors, H.1
  • 16
    • 34548471783 scopus 로고    scopus 로고
    • Nonlinear dimensionality reduction: Alternative ordination approaches for extracting and visualizing biodiversity patterns in tropical montane forest vegetation data
    • Mahecha, M., Martínez, A., Lischeid, G., & Beck, E. (2007). Nonlinear dimensionality reduction: Alternative ordination approaches for extracting and visualizing biodiversity patterns in tropical montane forest vegetation data. Ecological Informatics, 2, 138–149.
    • (2007) Ecological Informatics , vol.2 , pp. 138-149
    • Mahecha, M.1    Martínez, A.2    Lischeid, G.3    Beck, E.4
  • 18
    • 0000272110 scopus 로고
    • Cognitive reference points
    • Rosch, E. (1975). Cognitive reference points. Cognitive Psychology, 7(4), 532 - 547.
    • (1975) Cognitive Psychology , vol.7 , Issue.4 , pp. 532-547
    • Rosch, E.1
  • 19
    • 0034704222 scopus 로고    scopus 로고
    • Nonlinear dimensionality reduction by Locally Linear Embedding
    • Roweis, S., & Saul, L. (2000). Nonlinear dimensionality reduction by Locally Linear Embedding. Science, 290(5500), 2323–2326.
    • (2000) Science , vol.290 , Issue.5500 , pp. 2323-2326
    • Roweis, S.1    Saul, L.2
  • 20
    • 84887006810 scopus 로고
    • A nonlinear mapping for data structure analysis
    • Sammon, J. (1969). A nonlinear mapping for data structure analysis. IEEE Transactions on Computers, 18(5), 401–409.
    • (1969) IEEE Transactions on Computers , vol.18 , Issue.5 , pp. 401-409
    • Sammon, J.1
  • 21
    • 0034704229 scopus 로고    scopus 로고
    • A global geometric framework for nonlinear dimensionality reduction
    • de
    • Tenenbaum, J., Silva, V. de, & Langford, J. (2000). A global geometric framework for nonlinear dimensionality reduction. Science, 290(5500), 2319–2323.
    • (2000) Science , vol.290 , Issue.5500 , pp. 2319-2323
    • Tenenbaum, J.1    Silva, V.2    Langford, J.3
  • 23
    • 77949507946 scopus 로고    scopus 로고
    • Information retrieval perspective to nonlinear dimensionality reduction for data visualization
    • Venna, J., Peltonen, J., Nybo, K., Aidos, H., & Kaski, S. (2010). Information retrieval perspective to nonlinear dimensionality reduction for data visualization. Journal of Machine Learning Research, 11(Feb), 451–490.
    • (2010) Journal of Machine Learning Research , vol.11 , Issue.Feb , pp. 451-490
    • Venna, J.1    Peltonen, J.2    Nybo, K.3    Aidos, H.4    Kaski, S.5
  • 24
    • 0032482432 scopus 로고    scopus 로고
    • Collective dynamics of small-world networks
    • Watts, D., & Strogatz, S. (1998). Collective dynamics of small-world networks. Nature, 393, 440–442.
    • (1998) Nature , vol.393 , pp. 440-442
    • Watts, D.1    Strogatz, S.2
  • 26
    • 0000459353 scopus 로고    scopus 로고
    • The lack of a priori distinctions between learning algorithms
    • Wolpert, D. (1996). The lack of a priori distinctions between learning algorithms. Neural Computation, 8, 1341-1390.
    • (1996) Neural Computation , vol.8 , pp. 1341-1390
    • Wolpert, D.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.