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Volumn 4522 LNCS, Issue , 2007, Pages 334-343

Multiresolution approach in computing NTF

Author keywords

[No Author keywords available]

Indexed keywords

DATA ACQUISITION; FUNCTION EVALUATION; MULTIRESOLUTION ANALYSIS;

EID: 38049060799     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-73040-8_34     Document Type: Conference Paper
Times cited : (6)

References (16)
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    • 0033592606 scopus 로고    scopus 로고
    • Learning the Parts of Objects by Non-negative Matrix Factorization
    • Lee, D.D., Seung, N.S.: Learning the Parts of Objects by Non-negative Matrix Factorization. Nature 401, 788-791 (1999)
    • (1999) Nature , vol.401 , pp. 788-791
    • Lee, D.D.1    Seung, N.S.2
  • 3
    • 84900510076 scopus 로고    scopus 로고
    • Non-negative Matrix Factorization with Sparseness Constraints
    • Hoyer, P.O.: Non-negative Matrix Factorization with Sparseness Constraints. Journal of Machine Learning Research 5, 1457-1469 (2004)
    • (2004) Journal of Machine Learning Research , vol.5 , pp. 1457-1469
    • Hoyer, P.O.1
  • 5
    • 12344317125 scopus 로고    scopus 로고
    • Improving Non-negative Matrix Factorizations through Structured Initialization
    • Wild, S., Curry, J., Dougherty, A.: Improving Non-negative Matrix Factorizations through Structured Initialization. Pattern Recognition 37, 2217-2232 (2004)
    • (2004) Pattern Recognition , vol.37 , pp. 2217-2232
    • Wild, S.1    Curry, J.2    Dougherty, A.3
  • 7
    • 33745812062 scopus 로고    scopus 로고
    • Heiler, M., Schnörr, C.: Controlling Sparseness in Non-negative Tensor Factorization. In: Leonardis, A., Bischof, H., Pinz, A. (eds.) ECCV 2006. LNCS, 3951, pp. 56-67. Springer, Heidelberg (2006)
    • Heiler, M., Schnörr, C.: Controlling Sparseness in Non-negative Tensor Factorization. In: Leonardis, A., Bischof, H., Pinz, A. (eds.) ECCV 2006. LNCS, vol. 3951, pp. 56-67. Springer, Heidelberg (2006)
  • 8
    • 26444591944 scopus 로고    scopus 로고
    • Yuan, Z., Oja, E.: Projective Nonnegative Matrix Factorization for Image Compression and Feature Extraction. In: Kalviainen, H., Parkkinen, J., Kaarna, A. (eds.) SCIA 2005. LNCS, 3540, pp. 333-342. Springer, Heidelberg (2005)
    • Yuan, Z., Oja, E.: Projective Nonnegative Matrix Factorization for Image Compression and Feature Extraction. In: Kalviainen, H., Parkkinen, J., Kaarna, A. (eds.) SCIA 2005. LNCS, vol. 3540, pp. 333-342. Springer, Heidelberg (2005)
  • 10
    • 0033718620 scopus 로고    scopus 로고
    • Reversible integer-to-integer wavelet transforms for image compression: Performance evaluation and analysis
    • Adams, M.D., Kossentini, F.: Reversible integer-to-integer wavelet transforms for image compression: performance evaluation and analysis. IEEE Transactions on Image Processing 9(6), 1010-1024 (2000)
    • (2000) IEEE Transactions on Image Processing , vol.9 , Issue.6 , pp. 1010-1024
    • Adams, M.D.1    Kossentini, F.2
  • 13
    • 0000910653 scopus 로고    scopus 로고
    • Recent results in wavelet applications
    • Daubechies, I.: Recent results in wavelet applications. Journal of Electronic Imaging 7(4), 719-724 (1998)
    • (1998) Journal of Electronic Imaging , vol.7 , Issue.4 , pp. 719-724
    • Daubechies, I.1
  • 15
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    • accessed: November 10, 2006, availabe
    • Face Recognition Database. MIT-CBCL, accessed: November 10, 2006, availabe: http://cbcl.mit.edu/software-datasets/heisele/facerecognition- database.html
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    • (2006)
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