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Volumn , Issue , 2005, Pages 793-800

Non-negative tensor factorization with applications to statistics and computer vision

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTER VISION; DATA REDUCTION; IMAGE CODING; LEARNING SYSTEMS; MATRIX ALGEBRA; PROBLEM SOLVING; STATISTICS;

EID: 31844432834     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (410)

References (22)
  • 7
    • 0002740437 scopus 로고
    • Foundations of the parafac procedure: Models and conditions for an "explanatory" multi-modal factor analysis
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    • On the best rank-1 approxiamtion of higher order supersymmetric tensors
    • Kofidis, E., & Regalia, P. (2002). On the best rank-1 approxiamtion of higher order supersymmetric tensors. Matrix Analysis and Applications, 23, 863-884.
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    • Kofidis, E.1    Regalia, P.2
  • 10
    • 48749101457 scopus 로고
    • Three way arrays: Rank and uniqueness of trilinear de-composition, with application to arithmetic complexity and statistics
    • Kruksal, J. (1977). Three way arrays: rank and uniqueness of trilinear de-composition, with application to arithmetic complexity and statistics, Linear Algebra and its Applications, 18, 95-138.
    • (1977) Linear Algebra and Its Applications , vol.18 , pp. 95-138
    • Kruksal, J.1
  • 12
    • 0033592606 scopus 로고    scopus 로고
    • Learning the parts of objects by non-negative matrix factorization
    • Lee, D., & Seung, H. (1999). Learning the parts of objects by non-negative matrix factorization. Nature, 401, 788-791.
    • (1999) Nature , vol.401 , pp. 788-791
    • Lee, D.1    Seung, H.2
  • 13
    • 0028561099 scopus 로고
    • Positive matrix factorization: A non-negative factor model with optimal utilization of error estimates of data values
    • Paatero, P., & Tapper, U. (1994). Positive matrix factorization: a non-negative factor model with optimal utilization of error estimates of data values. Envirometrics, 5, 111-126.
    • (1994) Envirometrics , vol.5 , pp. 111-126
    • Paatero, P.1    Tapper, U.2
  • 14
    • 0030645338 scopus 로고    scopus 로고
    • On photometric issues in 3D visual recognition from a single 2D image
    • Shashua, A. (1997). On photometric issues in 3D visual recognition from a single 2D image. International Journal of Computer Vision, 21, 99-122.
    • (1997) International Journal of Computer Vision , vol.21 , pp. 99-122
    • Shashua, A.1
  • 16
    • 0033653594 scopus 로고    scopus 로고
    • On the uniqueness of multilinear decomposition of n-way arrays
    • Sidlropoulos, N., & Bro, R. (2000). On the uniqueness of multilinear decomposition of n-way arrays, Journal of Chemometrics, 14, 229-239.
    • (2000) Journal of Chemometrics , vol.14 , pp. 229-239
    • Sidlropoulos, N.1    Bro, R.2
  • 21
    • 0035447407 scopus 로고    scopus 로고
    • Cramer-rao lower boubds for low-rank decomposition of multidimensional arrays
    • Xianqian, L., & Sidiropoulos, N. (2001). Cramer-rao lower boubds for low-rank decomposition of multidimensional arrays. IEEE Transactions on Signal Processing, 49.
    • (2001) IEEE Transactions on Signal Processing , vol.49
    • Xianqian, L.1    Sidiropoulos, N.2
  • 22
    • 0036056838 scopus 로고    scopus 로고
    • Rank-one approximation to high order tensors
    • Zhang, T., & Golub, G. (2001). Rank-one approximation to high order tensors. Matrix Analysis and Applications, & 23, 534-550.
    • (2001) Matrix Analysis and Applications , vol.23 , pp. 534-550
    • Zhang, T.1    Golub, G.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.