Making Time-Series Classification More Accurate Using Learned Constraints
暂无分享,去创建一个
[1] R. Manmatha,et al. Word image matching using dynamic time warping , 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..
[2] Michael Clausen,et al. An Efficient Indexing and Search Technique for Multimedia Databases , 2003 .
[3] Kyuseok Shim,et al. Fast Similarity Search in the Presence of Noise, Scaling, and Translation in Time-Series Databases , 1995, VLDB.
[4] Tommi S. Jaakkola,et al. A new approach to analyzing gene expression time series data , 2002, RECOMB '02.
[5] Biing-Hwang Juang,et al. Fundamentals of speech recognition , 1993, Prentice Hall signal processing series.
[6] Dennis Shasha,et al. Query by Humming , 2004 .
[7] Ada Wai-Chee Fu,et al. Efficient time series matching by wavelets , 1999, Proceedings 15th International Conference on Data Engineering (Cat. No.99CB36337).
[8] G. W. Hughes,et al. Minimum Prediction Residual Principle Applied to Speech Recognition , 1975 .
[9] Eamonn J. Keogh,et al. Exact indexing of dynamic time warping , 2002, Knowledge and Information Systems.
[10] Georges Hébrail,et al. Interactive Interpretation of Kohonen Maps Applied to Curves , 1998, KDD.
[11] Kim-Fung Man,et al. Genetic Time Warping for Isolated Word Recognition , 1996, Int. J. Pattern Recognit. Artif. Intell..
[12] Pietro Perona,et al. Continuous dynamic time warping for translation-invariant curve alignment with applications to signature verification , 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.
[13] Eamonn J. Keogh,et al. Probabilistic discovery of time series motifs , 2003, KDD '03.
[14] Charles C. Tappert,et al. Memory and time improvements in a dynamic programming algorithm for matching speech patterns , 1978 .
[15] Dennis Shasha,et al. Query by humming: in action with its technology revealed , 2003, SIGMOD '03.
[16] Peter Norvig,et al. Artificial Intelligence: A Modern Approach , 1995 .
[17] Dipankar Dasgupta,et al. Novelty detection in time series data using ideas from immunology , 1996 .
[18] S. Chiba,et al. Dynamic programming algorithm optimization for spoken word recognition , 1978 .
[19] Donald J. Berndt,et al. Using Dynamic Time Warping to Find Patterns in Time Series , 1994, KDD Workshop.
[20] Dennis Shasha,et al. Warping indexes with envelope transforms for query by humming , 2003, SIGMOD '03.
[21] Zsolt Miklós Kovács-Vajna,et al. A Fingerprint Verification System Based on Triangular Matching and Dynamic Time Warping , 2000, IEEE Trans. Pattern Anal. Mach. Intell..
[22] Eamonn J. Keogh,et al. On the Need for Time Series Data Mining Benchmarks: A Survey and Empirical Demonstration , 2002, Data Mining and Knowledge Discovery.
[23] Man Hon Wong,et al. Efficient subsequence matching for sequences databases under time warping , 2003, Seventh International Database Engineering and Applications Symposium, 2003. Proceedings..
[24] George M. Church,et al. Aligning gene expression time series with time warping algorithms , 2001, Bioinform..
[25] Peter Clote,et al. An Application of Time Warping to Functional Genomics , 2003 .
[26] Christos Faloutsos,et al. Fast Time Sequence Indexing for Arbitrary Lp Norms , 2000, VLDB.
[27] S. Levinson,et al. Considerations in dynamic time warping algorithms for discrete word recognition , 1978 .
[28] Clement T. Yu,et al. Haar Wavelets for Efficient Similarity Search of Time-Series: With and Without Time Warping , 2003, IEEE Trans. Knowl. Data Eng..
[29] E. Caiani,et al. Warped-average template technique to track on a cycle-by-cycle basis the cardiac filling phases on left ventricular volume , 1998, Computers in Cardiology 1998. Vol. 25 (Cat. No.98CH36292).
[30] Aaron E. Rosenberg,et al. Performance tradeoffs in dynamic time warping algorithms for isolated word recognition , 1980 .
[31] Joseph B. Kruskal,et al. Time Warps, String Edits, and Macromolecules , 1999 .
[32] Juan José Rodríguez Diez,et al. Applying Boosting to Similarity Literals for Time Series Classification , 2000, Multiple Classifier Systems.
[33] Eamonn J. Keogh,et al. Dimensionality Reduction for Fast Similarity Search in Large Time Series Databases , 2001, Knowledge and Information Systems.
[34] Heikki Mannila,et al. Rule Discovery from Time Series , 1998, KDD.
[35] R. Manmatha,et al. Indexing of Handwritten Historical Documents - Recent Progress , 2003 .
[36] Eamonn J. Keogh,et al. Iterative Deepening Dynamic Time Warping for Time Series , 2002, SDM.
[37] Eamonn J. Keogh,et al. Locally adaptive dimensionality reduction for indexing large time series databases , 2001, SIGMOD '01.
[38] George Tzanetakis,et al. Polyphonic audio matching and alignment for music retrieval , 2003, 2003 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (IEEE Cat. No.03TH8684).
[39] Eamonn J. Keogh,et al. Scaling up dynamic time warping for datamining applications , 2000, KDD '00.
[40] Larry S. Davis,et al. Towards 3-D model-based tracking and recognition of human movement: a multi-view approach , 1995 .
[41] Paul R. Cohen,et al. Learned models for continuous planning , 1999, AISTATS.
[42] Shaogang Gong,et al. Learning Intrinsic Video Content Using Levenshtein Distance in Graph Partitioning , 2002, ECCV.
[43] Christos Faloutsos,et al. Efficient retrieval of similar time sequences under time warping , 1998, Proceedings 14th International Conference on Data Engineering.
[44] Clu-istos Foutsos,et al. Fast subsequence matching in time-series databases , 1994, SIGMOD '94.
[45] Christos Faloutsos,et al. Efficiently supporting ad hoc queries in large datasets of time sequences , 1997, SIGMOD '97.
[46] Mohammed Waleed Kadous,et al. Learning Comprehensible Descriptions of Multivariate Time Series , 1999, ICML.
[47] Dimitrios Gunopulos,et al. Discovering similar multidimensional trajectories , 2002, Proceedings 18th International Conference on Data Engineering.
[48] Klaus Gollmer,et al. Detection of distorted pattern using dynamic time warping algorithm and application for supervision , 1995 .