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Volumn 34, Issue 11, 2012, Pages 2216-2232

Proximity-based frameworks for generating embeddings from multi-output data

Author keywords

Dimensionality reduction; embeddings; multilabel classification; semi supervised; supervised

Indexed keywords

DIMENSIONALITY REDUCTION; EMBEDDINGS; MULTI-LABEL; SEMI-SUPERVISED; SUPERVISED;

EID: 84860461833     PISSN: 01628828     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPAMI.2012.20     Document Type: Article
Times cited : (29)

References (78)
  • 3
    • 0002312061 scopus 로고
    • Feature selection and feature extraction for text categorization
    • D.D. Lewis, "Feature Selection and Feature Extraction for Text Categorization," Proc. Workshop Speech and Natural Language, pp. 212-217, 1992.
    • (1992) Proc. Workshop Speech and Natural Language , pp. 212-217
    • Lewis, D.D.1
  • 5
    • 2942723846 scopus 로고    scopus 로고
    • A division information-theoretic feature clustering algorithm for text classification
    • I.S. Dhillon, S. Mallela, and R. Kumar, "A Division Information-Theoretic Feature Clustering Algorithm for Text Classification, " J. Machine Learning Research, vol. 3, pp. 1265-1287, 2003.
    • (2003) J. Machine Learning Research , vol.3 , pp. 1265-1287
    • Dhillon, I.S.1    Mallela, S.2    Kumar, R.3
  • 7
    • 21844475661 scopus 로고    scopus 로고
    • Dimension reduction in text classification with support vector machines
    • H. Kim, P. Howland, and H. Parl, "Dimension Reduction in Text Classification with Support Vector Machines," J. Machine Learning Research, vol. 6, pp. 37-53, 2005.
    • (2005) J. Machine Learning Research , vol.6 , pp. 37-53
    • Kim, H.1    Howland, P.2    Parl, H.3
  • 10
    • 0034704222 scopus 로고    scopus 로고
    • Nonlinear dimensionality reduction by locally linear embedding
    • S.T. Roweis and L.K. Saul, "Nonlinear Dimensionality Reduction by Locally Linear Embedding," Science, vol. 290, no. 5500, pp. 2323-2326, 2000.
    • (2000) Science , vol.290 , Issue.5500 , pp. 2323-2326
    • Roweis, S.T.1    Saul, L.K.2
  • 11
    • 36248950635 scopus 로고    scopus 로고
    • Orthogonal neighborhood preserving projections: A projection-based dimensionality reduction technique
    • Dec
    • E. Kokiopoulou and Y. Saad, "Orthogonal Neighborhood Preserving Projections: A Projection-Based Dimensionality Reduction Technique," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 29, no. 12, pp. 2143-2156, Dec. 2007.
    • (2007) IEEE Trans. Pattern Analysis and Machine Intelligence , vol.29 , Issue.12 , pp. 2143-2156
    • Kokiopoulou, E.1    Saad, Y.2
  • 14
    • 34548583274 scopus 로고    scopus 로고
    • A tutorial on spectral clustering
    • U. Luxburg, "A Tutorial on Spectral Clustering," Statistics and Computing, vol. 17, no. 4, pp. 395-416, 2007.
    • (2007) Statistics and Computing , vol.17 , Issue.4 , pp. 395-416
    • Luxburg, U.1
  • 15
    • 0034704229 scopus 로고    scopus 로고
    • A global geometric framework for nonlinear dimensionality reduction
    • J.B. Tenenbaum, V. de Silva, and J.C. Langford, "A Global Geometric Framework for Nonlinear Dimensionality Reduction," Science, vol. 290, no. 5500, pp. 2319-2323, 2000.
    • (2000) Science , vol.290 , Issue.5500 , pp. 2319-2323
    • Tenenbaum, J.B.1    De Silva, V.2    Langford, J.C.3
  • 16
    • 0042378381 scopus 로고    scopus 로고
    • Laplacian eigenmaps for dimensionality reduction and data representation
    • M. Belkin and P. Niyogi, "Laplacian Eigenmaps for Dimensionality Reduction and Data Representation," Neural Computation, vol. 15, no. 6, pp. 1373-1396, 2003.
    • (2003) Neural Computation , vol.15 , Issue.6 , pp. 1373-1396
    • Belkin, M.1    Niyogi, P.2
  • 18
    • 60849115541 scopus 로고    scopus 로고
    • Nonlinear dimensionality reduction by locally linear inlaying
    • Feb
    • Y. Hou, P. Zhang, X. Xu, X. Zhang, and W. Li, "Nonlinear Dimensionality Reduction by Locally Linear Inlaying," IEEE Trans. Neural Networks, vol. 20, no. 2, pp. 300-315, Feb. 2009.
    • (2009) IEEE Trans. Neural Networks , vol.20 , Issue.2 , pp. 300-315
    • Hou, Y.1    Zhang, P.2    Xu, X.3    Zhang, X.4    Li, W.5
  • 19
    • 68549120964 scopus 로고    scopus 로고
    • Patch alignment for dimensionality reduction
    • Sept
    • T. Zhang, D. Tao, X. Li, and J. Yang, "Patch Alignment for Dimensionality Reduction," IEEE Trans. Knowledge and Data Eng., vol. 21, no. 9, pp. 1299-1313, Sept. 2009.
    • (2009) IEEE Trans. Knowledge and Data Eng. , vol.21 , Issue.9 , pp. 1299-1313
    • Zhang, T.1    Tao, D.2    Li, X.3    Yang, J.4
  • 20
    • 0000764772 scopus 로고
    • The use of multiple measurements in taxonomic problems
    • R.A. Fisher, "The Use of Multiple Measurements in Taxonomic Problems," Annals of Eugenics, vol. 7, no. 2, pp. 179-188, 1936.
    • (1936) Annals of Eugenics , vol.7 , Issue.2 , pp. 179-188
    • Fisher, R.A.1
  • 21
    • 33144458972 scopus 로고    scopus 로고
    • Efficient and robust feature extraction by maximum margin criterion
    • Jan
    • H. Li, T. Jiang, and K. Zhang, "Efficient and Robust Feature Extraction by Maximum Margin Criterion," IEEE Trans. Neural Networks, vol. 17, no. 1, pp. 157-165, Jan. 2006.
    • (2006) IEEE Trans. Neural Networks , vol.17 , Issue.1 , pp. 157-165
    • Li, H.1    Jiang, T.2    Zhang, K.3
  • 24
    • 34249086815 scopus 로고    scopus 로고
    • Dimensionality reduction of multimodal labeled data by local fisher discriminant analysis
    • M. Sugiyama, "Dimensionality Reduction of Multimodal Labeled Data by Local Fisher Discriminant Analysis," J. Machine Learning Research, vol. 8, pp. 1027-1061, 2007.
    • (2007) J. Machine Learning Research , vol.8 , pp. 1027-1061
    • Sugiyama, M.1
  • 25
    • 77952423823 scopus 로고    scopus 로고
    • Semi-supervised local fisher discriminant analysis for dimensionality reduction
    • M. Sugiyama, T. Idé, S. Nakajima, and J. Sese, "Semi-Supervised Local Fisher Discriminant Analysis for Dimensionality Reduction," Machine Learning, vol. 78, nos. 1/2, pp. 35-61, 2010.
    • (2010) Machine Learning , vol.78 , Issue.1-2 , pp. 35-61
    • Sugiyama, M.1    Idé, T.2    Nakajima, S.3    Sese, J.4
  • 27
    • 67649413071 scopus 로고    scopus 로고
    • Enhanced graph-based dimensionality reduction with repulsion laplaceans
    • E. Kokiopouloua and Y. Saadb, "Enhanced Graph-Based Dimensionality Reduction with Repulsion Laplaceans," Pattern Recognition, vol. 42, pp. 2392-2402, 2009.
    • (2009) Pattern Recognition , vol.42 , pp. 2392-2402
    • Kokiopouloua, E.1    Saadb, Y.2
  • 28
    • 68149178816 scopus 로고    scopus 로고
    • Enhanced supervised locally linear embedding
    • S. Zhang, "Enhanced Supervised Locally Linear Embedding," Pattern Recognition Letters, vol. 30, no. 13, pp. 1208-1218, 2009.
    • (2009) Pattern Recognition Letters , vol.30 , Issue.13 , pp. 1208-1218
    • Zhang, S.1
  • 31
    • 44649132677 scopus 로고    scopus 로고
    • A unified framework for semi-supervised dimensionality reduction
    • Y. Song, F. Nie, C. Zhang, and S. Xiang, "A Unified Framework for Semi-Supervised Dimensionality Reduction," Pattern Recognition, vol. 41, no. 9, pp. 2789-2799, 2008.
    • (2008) Pattern Recognition , vol.41 , Issue.9 , pp. 2789-2799
    • Song, Y.1    Nie, F.2    Zhang, C.3    Xiang, S.4
  • 32
    • 77952518276 scopus 로고    scopus 로고
    • A unified semi-supervised dimensionality reduction framework for manifold learning
    • R. Chatpatanasiri and B. Kijsirikul, "A Unified Semi-Supervised Dimensionality Reduction Framework for Manifold Learning," Neurocomputing, vol. 73, nos. 10-12, pp. 1631-1640, 2010.
    • Neurocomputing , vol.73 , Issue.10-12 , pp. 1631-1640
    • Chatpatanasiri, R.1    Kijsirikul, B.2
  • 33
    • 33745456231 scopus 로고    scopus 로고
    • Technical Report 1530, Dept. of Computer Sciences, Univ. of Wisconsin
    • X. Zhu, "Semi-Supervised Learning Literature Survey," Technical Report 1530, Dept. of Computer Sciences, Univ. of Wisconsin, 2005.
    • (2005) Semi-Supervised Learning Literature Survey
    • Zhu, X.1
  • 35
    • 33645323768 scopus 로고    scopus 로고
    • Hierarchical multi-label prediction of gene function
    • Z. Barutcuoglu, R.E. Schapire, and O.G. Troyanskaya, "Hierarchical Multi-Label Prediction of Gene Function," Bioinformatics, vol. 22, no. 7, pp. 830-836, 2006.
    • (2006) Bioinformatics , vol.22 , Issue.7 , pp. 830-836
    • Barutcuoglu, Z.1    Schapire, R.E.2    Troyanskaya, O.G.3
  • 37
    • 33750823079 scopus 로고    scopus 로고
    • Multi-output regularized feature projection
    • Dec
    • S. Yu, K. Yu, V. Tresp, and H. Kriegel, "Multi-Output Regularized Feature Projection," IEEE Trans. Knowledge and Data Eng, vol. 18, no. 12, pp. 1600-1613, Dec. 2006.
    • (2006) IEEE Trans. Knowledge and Data Eng , vol.18 , Issue.12 , pp. 1600-1613
    • Yu, S.1    Yu, K.2    Tresp, V.3    Kriegel, H.4
  • 38
    • 52649118114 scopus 로고    scopus 로고
    • Semi-supervised multi-label learning by solving a sylvester equation
    • G. Chen, Y. Song, F. Wang, and C. Zhang, "Semi-Supervised Multi-Label Learning by Solving a Sylvester Equation," Proc. Eighth SIAM Conf. Data Mining, pp. 410-419, 2008.
    • (2008) Proc. Eighth SIAM Conf. Data Mining , pp. 410-419
    • Chen, G.1    Song, Y.2    Wang, F.3    Zhang, C.4
  • 41
    • 10044285992 scopus 로고    scopus 로고
    • Canonical correlation analysis: An overview with application to learning methods
    • D.R. Hardoon, S.R. Szedmak, and J.R. Shawe-Taylor, "Canonical Correlation Analysis: An Overview with Application to Learning Methods," Neural Computation, vol. 16, no. 12, pp. 2639-2664, 2004.
    • (2004) Neural Computation , vol.16 , Issue.12 , pp. 2639-2664
    • Hardoon, D.R.1    Szedmak, S.R.2    Shawe-Taylor, J.R.3
  • 43
    • 71149101160 scopus 로고    scopus 로고
    • A least squares formulation for a class of generalized eigenvalue problems in machine learning
    • L. Sun, S. Ji, and J. Ye, "A Least Squares Formulation for a Class of Generalized Eigenvalue Problems in Machine Learning," Proc. Int'l Conf. Machine Learning, 2008.
    • (2008) Proc. Int'l Conf. Machine Learning
    • Sun, L.1    Ji, S.2    Ye, J.3
  • 44
    • 57749121315 scopus 로고    scopus 로고
    • Multi-label dimensionality reduction via dependence maximization
    • Y. Zhang and Z. Zhou, "Multi-Label Dimensionality Reduction via Dependence Maximization," Proc. 23rd Nat'l Conf. Artificial Intelligence, vol. 3, pp. 1503-1505, 2007.
    • (2007) Proc. 23rd Nat'l Conf. Artificial Intelligence , vol.3 , pp. 1503-1505
    • Zhang, Y.1    Zhou, Z.2
  • 53
    • 84950351930 scopus 로고
    • Multidimensional scaling: I. Theory and method
    • W.S. Torgerson, "Multidimensional Scaling: I. Theory and Method," J. Psychometrika, vol. 17, no. 4, pp. 401-419, 1952.
    • (1952) J. Psychometrika , vol.17 , Issue.4 , pp. 401-419
    • Torgerson, W.S.1
  • 56
    • 57149123782 scopus 로고    scopus 로고
    • Incremental isometric embedding of high-dimensional data using connected neighborhood graphs
    • Jan
    • D. Zhao and L. Yang, "Incremental Isometric Embedding of High-Dimensional Data Using Connected Neighborhood Graphs," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 31, no. 1, pp. 86-98, Jan. 2009.
    • (2009) IEEE Trans. Pattern Analysis and Machine Intelligence , vol.31 , Issue.1 , pp. 86-98
    • Zhao, D.1    Yang, L.2
  • 57
    • 0011812771 scopus 로고    scopus 로고
    • Kernel independent component analysis
    • F. Bach and M. Jordan, "Kernel Independent Component Analysis," J. Machine Learning Research, vol. 3, pp. 1-48, 2002.
    • (2002) J. Machine Learning Research , vol.3 , pp. 1-48
    • Bach, F.1    Jordan, M.2
  • 58
    • 0000781020 scopus 로고
    • Partial least squares
    • S. Kotz and N.L. Johnson, eds. John Wiley and Sons
    • H. Wold, "Partial Least Squares," Encyclopedia of the Statistical Sciences, S. Kotz and N.L. Johnson, eds., vol. 6, pp. 581-591, John Wiley and Sons, 1985.
    • (1985) Encyclopedia of the Statistical Sciences , vol.6 , pp. 581-591
    • Wold, H.1
  • 65
    • 79954475526 scopus 로고    scopus 로고
    • Trace optimization and eigenproblems in dimension reduction methods
    • E. Kokiopoulou, J. Chen, and Y. Saad, "Trace Optimization and Eigenproblems in Dimension Reduction Methods," Numerical Linear Algebra with Applications, vol. 18, pp. 565-602, 2010.
    • Numerical Linear Algebra with Applications , vol.18 , Issue.2010 , pp. 565-602
    • Kokiopoulou, E.1    Chen, J.2    Saad, Y.3
  • 66
    • 14544307975 scopus 로고    scopus 로고
    • Principal manifolds and nonlinear dimension reduction via local tangent space alignment
    • Z. Zhang and H. Zha, "Principal Manifolds and Nonlinear Dimension Reduction via Local Tangent Space Alignment," SIAM J. Scientific Computing, vol. 26, no. 1, pp. 313-338, 2005.
    • (2005) SIAM J. Scientific Computing , vol.26 , Issue.1 , pp. 313-338
    • Zhang, Z.1    Zha, H.2
  • 67
    • 3042597440 scopus 로고    scopus 로고
    • Learning multi-label scene classification
    • M.R. Boutell, J. Luo, X. Shen, and C.M. Brown, "Learning Multi-Label Scene Classification," Pattern Recognition, vol. 37, no. 9, pp. 1757-1771, 2004.
    • (2004) Pattern Recognition , vol.37 , Issue.9 , pp. 1757-1771
    • Boutell, M.R.1    Luo, J.2    Shen, X.3    Brown, C.M.4
  • 68
    • 49749095082 scopus 로고    scopus 로고
    • Document transformation for multi-label feature selection in text categorization
    • W. Chen, J. Yan, B. Zhang, Z. Chen, and Q. Yang, "Document Transformation for Multi-Label Feature Selection in Text Categorization," Proc. IEEE Int'l Conf. Data Mining, pp. 451-456. 2007
    • (2007) Proc. IEEE Int'l Conf. Data Mining , pp. 451-456
    • Chen, W.1    Yan, J.2    Zhang, B.3    Chen, Z.4    Yang, Q.5
  • 72
    • 0347243182 scopus 로고    scopus 로고
    • Nonlinear component analysis as a kernel eigenvalue problem
    • B. Scholköpf, A. Smola, and K.R. Müller, "Nonlinear Component Analysis as a Kernel Eigenvalue Problem," Neural Computation, vol. 10, no. 5, pp. 1299-1319, 1998.
    • (1998) Neural Computation , vol.10 , Issue.5 , pp. 1299-1319
    • Scholköpf, B.1    Smola, A.2    Müller, K.R.3
  • 73
    • 0001500115 scopus 로고
    • Functions of positive and negative type and their connection with the theory of integral equations
    • J. Mercer, "Functions of Positive and Negative Type and Their Connection with the Theory of Integral Equations," Philosophical Trans. Royal Soc. of London, vol. 7, pp. 415-446, 1909.
    • (1909) Philosophical Trans. Royal Soc. of London , vol.7 , pp. 415-446
    • Mercer, J.1
  • 76
    • 0036604999 scopus 로고    scopus 로고
    • Dissimilarity representations allow for building good classifiers
    • E. Pekalska and R. Duin, "Dissimilarity Representations Allow for Building Good Classifiers," Pattern Recognition Letters, vol. 42, no. 8, pp. 943-956, 2002.
    • (2002) Pattern Recognition Letters , vol.42 , Issue.8 , pp. 943-956
    • Pekalska, E.1    Duin, R.2
  • 77
    • 27744546228 scopus 로고    scopus 로고
    • Prototype selection for dissimilarity-based classifiers
    • E. Pekalska, R. Duin, and P. Paclik, "Prototype Selection for Dissimilarity-Based Classifiers," Pattern Recognition, vol. 39, no. 2, pp. 189-208, 2006.
    • (2006) Pattern Recognition , vol.39 , Issue.2 , pp. 189-208
    • Pekalska, E.1    Duin, R.2    Paclik, P.3
  • 78
    • 35348896605 scopus 로고    scopus 로고
    • Visual assessment of clustering tendency for rectangular dissimilarity matrices
    • Oct
    • J.C. Bezdek, R.J. Hathaway, and J.M. Huband, "Visual Assessment of Clustering Tendency for Rectangular Dissimilarity Matrices," IEEE Trans. Fuzzy Systems, vol. 15, no. 5, pp. 890-903, Oct. 2007.
    • (2007) IEEE Trans. Fuzzy Systems , vol.15 , Issue.5 , pp. 890-903
    • Bezdek, J.C.1    Hathaway, R.J.2    Huband, J.M.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.