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Volumn 7665 LNCS, Issue PART 3, 2012, Pages 84-91

Linked PARAFAC/CP tensor decomposition and its fast implementation for multi-block tensor analysis

Author keywords

Group Analysis; Hierarchical Alternating Least Squares (HALS); PARAFAC CP model; Tensor decompositions of multi block data

Indexed keywords

ALTERNATING LEAST SQUARES; COMMON FACTORS; CORE TENSOR; FAST IMPLEMENTATION; GROUP ANALYSIS; INDIVIDUAL FACTORS; PARAFAC; TENSOR ANALYSIS; TENSOR DECOMPOSITION;

EID: 84869048536     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-34487-9_11     Document Type: Conference Paper
Times cited : (22)

References (12)
  • 1
    • 0004050741 scopus 로고    scopus 로고
    • Multi-way analysis in the food industry - Models, algorithms, and applications
    • Tech. rep., MRI, EPG and EMA
    • Bro, R.: Multi-way analysis in the food industry - models, algorithms, and applications. Tech. rep., MRI, EPG and EMA, Proc. ICSLP 2000 (1998)
    • (1998) Proc. ICSLP 2000
    • Bro, R.1
  • 2
    • 34250499792 scopus 로고
    • Analysis of individual differences in multidimensional scaling via an n-way generalization of eckart-young decomposition
    • Carroll, J., Chang, J.J.: Analysis of individual differences in multidimensional scaling via an n-way generalization of eckart-young decomposition. Psychometrika 35, 283-319 (1970)
    • (1970) Psychometrika , vol.35 , pp. 283-319
    • Carroll, J.1    Chang, J.J.2
  • 5
    • 37749030729 scopus 로고    scopus 로고
    • Hierarchical ALS Algorithms for Nonnegative Matrix and 3D Tensor Factorization
    • Davies, M.E., James, C.J., Abdallah, S.A., Plumbley, M.D. (eds.) ICA 2007. Springer, Heidelberg
    • Cichocki, A., Zdunek, R., Amari, S.-I.: Hierarchical ALS Algorithms for Nonnegative Matrix and 3D Tensor Factorization. In: Davies, M.E., James, C.J., Abdallah, S.A., Plumbley, M.D. (eds.) ICA 2007. LNCS, vol. 4666, pp. 169-176. Springer, Heidelberg (2007)
    • (2007) LNCS , vol.4666 , pp. 169-176
    • Cichocki, A.1    Zdunek, R.2    Amari, S.-I.3
  • 7
    • 48749090271 scopus 로고    scopus 로고
    • A unified framework for group independent component analysis for multi-subject fMRI data
    • Guo, Y., Pagnoni, G.: A unified framework for group independent component analysis for multi-subject fMRI data. NeuroImage 42(3), 1078-1093 (2008)
    • (2008) NeuroImage , vol.42 , Issue.3 , pp. 1078-1093
    • Guo, Y.1    Pagnoni, G.2
  • 8
    • 0002740437 scopus 로고
    • Foundations of the parafac procedure: Model and conditions for an 'explanatory' multi-mode factor analysis
    • Harshman, R.: Foundations of the parafac procedure: Model and conditions for an 'explanatory' multi-mode factor analysis. UCLA Working Papers in phonetics 16, 1-84 (1970)
    • (1970) UCLA Working Papers in Phonetics , vol.16 , pp. 1-84
    • Harshman, R.1
  • 10
    • 0033592606 scopus 로고    scopus 로고
    • Learning the parts of objects by non-negative matrix factorization
    • Lee, D.D., Seung, H.S.: Learning the parts of objects by non-negative matrix factorization. Nature 401(6755), 788-791 (1999)
    • (1999) Nature , vol.401 , Issue.6755 , pp. 788-791
    • Lee, D.D.1    Seung, H.S.2
  • 12
    • 78751515806 scopus 로고    scopus 로고
    • Tensor decompositions for feature extraction and classification of high dimensional datasets
    • Phan, A., Cichocki, A.: Tensor decompositions for feature extraction and classification of high dimensional datasets. IEICE, NOLTA 1(1), 37-68 (2010)
    • (2010) IEICE, NOLTA , vol.1 , Issue.1 , pp. 37-68
    • Phan, A.1    Cichocki, A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.