An efficient k nearest neighbor search for multivariate time series

[1]  David G. Stork,et al.  Pattern Classification , 1973 .

[2]  S. Chiba,et al.  Dynamic programming algorithm optimization for spoken word recognition , 1978 .

[3]  W. Krzanowski.  Between-Groups Comparison of Principal Components , 1979 .

[4]  Aaron E. Rosenberg,et al.  Performance tradeoffs in dynamic time warping algorithms for isolated word recognition , 1980 .

[5]  B. Flury.  Common Principal Components in k Groups , 1984 .

[6]  J. R. Schott.  Some tests for common principal component subspaces in several groups , 1991 .

[7]  L. R. Rasmussen,et al.  In information retrieval: data structures and algorithms , 1992 .

[8]  J. Edward Jackson,et al.  A User's Guide to Principal Components. , 1991 .

[9]  H. Begleiter,et al.  Event related potentials during object recognition tasks , 1995, Brain Research Bulletin.

[10]  Ron Kohavi,et al.  Wrappers for Feature Subset Selection , 1997, Artif. Intell..

[11]  Pavel Zezula,et al.  M-tree: An Efficient Access Method for Similarity Search in Metric Spaces , 1997, VLDB.

[12]  L. K. Hansen,et al.  On Clustering fMRI Time Series , 1999, NeuroImage.

[13]  Z. Meral Özsoyoglu,et al.  Indexing large metric spaces for similarity search queries , 1999, TODS.

[14]  T. Moon,et al.  Mathematical Methods and Algorithms for Signal Processing , 1999 .

[15]  Masatoshi Yoshikawa,et al.  The A-tree: An Index Structure for High-Dimensional Spaces Using Relative Approximation , 2000, VLDB.

[16]  Xiaohui Liu,et al.  Variable grouping in multivariate time series via correlation , 2001, IEEE Trans. Syst. Man Cybern. Part B.

[17]  Shigeo Abe DrEng.  Pattern Classification , 2001, Springer London.

[18]  Christian Böhm,et al.  Searching in high-dimensional spaces: Index structures for improving the performance of multimedia databases , 2001, CSUR.

[19]  Ryoji Kataoka,et al.  Similarity Search for Adaptive Ellipsoid Queries Using Spatial Transformation , 2001, VLDB.

[20]  Beng Chin Ooi,et al.  Indexing the Distance: An Efficient Method to KNN Processing , 2001, VLDB.

[21]  Ricardo A. Baeza-Yates,et al.  Searching in metric spaces , 2001, CSUR.

[22]  Eamonn Keogh.  Exact Indexing of Dynamic Time Warping , 2002, VLDB.

[23]  Mohammed Waleed Kadous,et al.  Temporal classification: extending the classification paradigm to multivariate time series , 2002 .

[24]  Mario A. Nascimento,et al.  A compact and efficient image retrieval approach based on border/interior pixel classification , 2002, CIKM '02.

[25]  Marco Patella,et al.  Searching in metric spaces with user-defined and approximate distances , 2002, TODS.

[26]  Petra Perner,et al.  Data Mining - Concepts and Techniques , 2002, Künstliche Intell..

[27]  Dimitrios Gunopulos,et al.  Discovering similar multidimensional trajectories , 2002, Proceedings 18th International Conference on Data Engineering.

[28]  Davide Roverso,et al.  Plant diagnostics by transient classification: The ALADDIN approach , 2002, Int. J. Intell. Syst..

[29]  Deok-Hwan Kim,et al.  QCluster: relevance feedback using adaptive clustering for content-based image retrieval , 2003, SIGMOD '03.

[30]  Dimitrios Gunopulos,et al.  Indexing multi-dimensional time-series with support for multiple distance measures , 2003, KDD '03.

[31]  R. Manmatha,et al.  Lower-Bounding of Dynamic Time Warping Distances for Multivariate Time Series , 2003 .

[32]  Huan Liu,et al.  Active Feature Selection Using Classes , 2003, PAKDD.

[33]  Aaron F. Bobick,et al.  Performance Analysis of Time-Distance Gait Parameters under Different Speeds , 2003, AVBPA.

[34]  Cyrus Shahabi,et al.  AIMS: An Immersidata Management System , 2003, CIDR.

[35]  Isabelle Guyon,et al.  An Introduction to Variable and Feature Selection , 2003, J. Mach. Learn. Res..

[36]  Cyrus Shahabi,et al.  Real-time Pattern Isolation and Recognition Over Immersive Sensor Data Streams , 2003, MMM.

[37]  Todd D. Millstein,et al.  Bounded similarity querying for time-series data , 2004, Inf. Comput..

[38]  Bernhard Schölkopf,et al.  Support vector channel selection in BCI , 2004, IEEE Transactions on Biomedical Engineering.

[39]  Cyrus Shahabi,et al.  A PCA-based similarity measure for multivariate time series , 2004, MMDB '04.

[40]  Lei Chen,et al.  On The Marriage of Lp-norms and Edit Distance , 2004, VLDB.

[41]  Raymond T. Ng,et al.  Indexing spatio-temporal trajectories with Chebyshev polynomials , 2004, SIGMOD '04.

[42]  Lei Chen,et al.  On the Marriage of Edit Distance and Lp Norms , 2004, VLDB 2004.

[43]  Bernhard Schölkopf,et al.  Methods Towards Invasive Human Brain Computer Interfaces , 2004, NIPS.

[44]  Shai Ben-David,et al.  Detecting Change in Data Streams , 2004, VLDB.

[45]  Cyrus Shahabi,et al.  A multilevel distance-based index structure for multivariate time series , 2005, 12th International Symposium on Temporal Representation and Reasoning (TIME'05).

[46]  D. Seborg,et al.  Clustering multivariate time‐series data , 2005 .

[47]  Lei Chen,et al.  Robust and fast similarity search for moving object trajectories , 2005, SIGMOD '05.

[48]  Cyrus Shahabi,et al.  Feature subset selection and feature ranking for multivariate time series , 2005, IEEE Transactions on Knowledge and Data Engineering.

[49]  Heng Tao Shen,et al.  Principal Component Analysis , 2009, Encyclopedia of Biometrics.