Incremental tensor analysis: Theory and applications
暂无分享,去创建一个
Philip S. Yu | Jimeng Sun | Christos Faloutsos | Dacheng Tao | Spiros Papadimitriou | C. Faloutsos | Jimeng Sun | D. Tao | S. Papadimitriou
[1] Mohammed J. Zaki,et al. TRICLUSTER: an effective algorithm for mining coherent clusters in 3D microarray data , 2005, SIGMOD '05.
[2] C. Loan. The ubiquitous Kronecker product , 2000 .
[3] Petros Drineas,et al. Tensor-CUR Decompositions for Tensor-Based Data , 2008, SIAM J. Matrix Anal. Appl..
[4] Tamara G. Kolda,et al. Tensor Decompositions and Applications , 2009, SIAM Rev..
[5] Heng Tao Shen,et al. Principal Component Analysis , 2009, Encyclopedia of Biometrics.
[6] Jiawei Han,et al. ACM Transactions on Knowledge Discovery from Data: Introduction , 2007 .
[7] Christos Faloutsos,et al. Online data mining for co-evolving time sequences , 2000, Proceedings of 16th International Conference on Data Engineering (Cat. No.00CB37073).
[8] Tomasz Imielinski,et al. Mining association rules between sets of items in large databases , 1993, SIGMOD Conference.
[9] Amnon Shashua,et al. Linear image coding for regression and classification using the tensor-rank principle , 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.
[10] Dennis Shasha,et al. StatStream: Statistical Monitoring of Thousands of Data Streams in Real Time , 2002, VLDB.
[11] B. Everitt,et al. Three-Mode Principal Component Analysis. , 1986 .
[12] Christos Faloutsos,et al. Adaptive, Hands-Off Stream Mining , 2003, VLDB.
[13] Chris H. Q. Ding,et al. 2-Dimensional Singular Value Decomposition for 2D Maps and Images , 2005, SDM.
[14] J. Leeuw,et al. Principal component analysis of three-mode data by means of alternating least squares algorithms , 1980 .
[15] Rasmus Bro,et al. Multi-way Analysis with Applications in the Chemical Sciences , 2004 .
[16] I. Jolliffe. Principal Component Analysis , 2002 .
[17] Jimeng Sun,et al. Beyond streams and graphs: dynamic tensor analysis , 2006, KDD '06.
[18] C. Ding,et al. Two-Dimensional Singular Value Decomposition ( 2 DSVD ) for 2 D Maps and Images , 2005 .
[19] Susan T. Dumais,et al. Personalized information delivery: an analysis of information filtering methods , 1992, CACM.
[20] Philip S. Yu,et al. A Framework for Clustering Evolving Data Streams , 2003, VLDB.
[21] Tamara G. Kolda,et al. Higher-order Web link analysis using multilinear algebra , 2005, Fifth IEEE International Conference on Data Mining (ICDM'05).
[22] Xuelong Li,et al. General Tensor Discriminant Analysis and Gabor Features for Gait Recognition , 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[23] Philip S. Yu,et al. Window-based Tensor Analysis on High-dimensional and Multi-aspect Streams , 2006, Sixth International Conference on Data Mining (ICDM'06).
[24] Philip S. Yu,et al. Mining concept-drifting data streams using ensemble classifiers , 2003, KDD '03.
[25] Geoff Hulten,et al. Mining high-speed data streams , 2000, KDD '00.
[26] Harry Shum,et al. Concurrent subspaces analysis , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[27] Santosh S. Vempala,et al. Latent semantic indexing: a probabilistic analysis , 1998, PODS '98.
[28] Christos Faloutsos,et al. Quantifiable data mining using ratio rules , 2000, The VLDB Journal.
[29] Sergey Brin,et al. The Anatomy of a Large-Scale Hypertextual Web Search Engine , 1998, Comput. Networks.
[30] Simon Haykin,et al. Adaptive filter theory (2nd ed.) , 1991 .
[31] Somchai Jitapunkul,et al. TWO-Dimensional Linear Discriminant Analysis of Principle Component Vectors for Face Recognition , 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.
[32] Joos Vandewalle,et al. On the Best Rank-1 and Rank-(R1 , R2, ... , RN) Approximation of Higher-Order Tensors , 2000, SIAM J. Matrix Anal. Appl..
[33] T. Kolda. Multilinear operators for higher-order decompositions , 2006 .
[34] David E. Booth,et al. Multi-Way Analysis: Applications in the Chemical Sciences , 2005, Technometrics.
[35] Jieping Ye,et al. Generalized Low Rank Approximations of Matrices , 2004, Machine Learning.
[36] Deng Cai,et al. Tensor Subspace Analysis , 2005, NIPS.
[37] Santosh S. Vempala,et al. On clusterings-good, bad and spectral , 2000, Proceedings 41st Annual Symposium on Foundations of Computer Science.
[38] Demetri Terzopoulos,et al. Multilinear Analysis of Image Ensembles: TensorFaces , 2002, ECCV.
[39] L. Tucker,et al. Some mathematical notes on three-mode factor analysis , 1966, Psychometrika.
[40] Sudipto Guha,et al. Clustering Data Streams: Theory and Practice , 2003, IEEE Trans. Knowl. Data Eng..
[41] Piotr Indyk,et al. Identifying Representative Trends in Massive Time Series Data Sets Using Sketches , 2000, VLDB.
[42] Jimeng Sun,et al. Streaming Pattern Discovery in Multiple Time-Series , 2005, VLDB.
[43] S. Haykin,et al. Adaptive Filter Theory , 1986 .
[44] Vipin Kumar,et al. Parallel Multilevel series k-Way Partitioning Scheme for Irregular Graphs , 1999, SIAM Rev..
[45] Matthew Richardson,et al. Mining the network value of customers , 2001, KDD '01.
[46] Dimitrios Gunopulos,et al. Correlating synchronous and asynchronous data streams , 2003, KDD '03.
[47] Johannes Gehrke,et al. Mining data streams under block evolution , 2002, SKDD.
[48] Pieter M. Kroonenberg,et al. Three-mode principal component analysis : theory and applications , 1983 .
[49] Christos Faloutsos,et al. BRAID: stream mining through group lag correlations , 2005, SIGMOD '05.