An Examination of Multivariate Time Series Hashing with Applications to Health Care
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Yan Liu | Gérard G. Medioni | Dian Gong | Zhengping Che | Patrick Ross | David C. Kale | Randall C. Wetzel | G. Medioni | Dian Gong | R. Wetzel | Yan Liu | Zhengping Che | P. Ross
[1] Jessica Lin,et al. Pattern Recognition in Time Series , 2012 .
[2] Arnaud Doucet,et al. Autoregressive Kernels For Time Series , 2011, 1101.0673.
[3] Li Wei,et al. Experiencing SAX: a novel symbolic representation of time series , 2007, Data Mining and Knowledge Discovery.
[4] Eamonn Keogh. Exact Indexing of Dynamic Time Warping , 2002, VLDB.
[5] T. K. Vintsyuk. Speech discrimination by dynamic programming , 1968 .
[6] Piotr Indyk,et al. Similarity Search in High Dimensions via Hashing , 1999, VLDB.
[7] Kristen Grauman,et al. Learning Binary Hash Codes for Large-Scale Image Search , 2013, Machine Learning for Computer Vision.
[8] X. Yao,et al. Model-based kernel for efficient time series analysis , 2013, KDD.
[9] Moses Charikar,et al. Similarity estimation techniques from rounding algorithms , 2002, STOC '02.
[10] Kristen Grauman,et al. Kernelized Locality-Sensitive Hashing , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[11] Tetsuji Kuboyama,et al. A Generalization of Haussler's Convolution Kernel — Mapping Kernel and Its Application to Tree Kernels , 2008, ICML '08.
[12] Antonio Torralba,et al. Spectral Hashing , 2008, NIPS.
[13] Eamonn J. Keogh,et al. Searching and Mining Trillions of Time Series Subsequences under Dynamic Time Warping , 2012, KDD.
[14] Geoffrey E. Hinton,et al. Semantic hashing , 2009, Int. J. Approx. Reason..
[15] Alex Waibel,et al. Readings in speech recognition , 1990 .
[16] G.B. Moody,et al. Similarity-based searching in multi-parameter time series databases , 2008, 2008 Computers in Cardiology.
[17] Marco Cuturi,et al. Fast Global Alignment Kernels , 2011, ICML.
[18] Helmut Ltkepohl,et al. New Introduction to Multiple Time Series Analysis , 2007 .
[19] Yuan Li,et al. Rotation-invariant similarity in time series using bag-of-patterns representation , 2012, Journal of Intelligent Information Systems.
[20] Nicole Immorlica,et al. Locality-sensitive hashing scheme based on p-stable distributions , 2004, SCG '04.
[21] Benjamin M. Marlin,et al. Unsupervised pattern discovery in electronic health care data using probabilistic clustering models , 2012, IHI '12.
[22] Inderjit S. Dhillon,et al. Information-theoretic metric learning , 2006, ICML '07.
[23] Svetlana Lazebnik,et al. Locality-sensitive binary codes from shift-invariant kernels , 2009, NIPS.
[24] Philip Chan,et al. Toward accurate dynamic time warping in linear time and space , 2007, Intell. Data Anal..
[25] David J. Fleet,et al. Hamming Distance Metric Learning , 2012, NIPS.
[26] S. Chiba,et al. Dynamic programming algorithm optimization for spoken word recognition , 1978 .
[27] Eamonn J. Keogh,et al. iSAX: indexing and mining terabyte sized time series , 2008, KDD.
[28] Nello Cristianini,et al. Kernel Methods for Pattern Analysis , 2003, ICTAI.
[29] G. Bonsel,et al. Assessing the outcome of pediatric intensive care. , 1993, The Journal of pediatrics.
[30] Shigeki Sagayama,et al. Dynamic Time-Alignment Kernel in Support Vector Machine , 2001, NIPS.
[31] 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.
[32] Jimeng Sun,et al. MatrixFlow: Temporal Network Visual Analytics to Track Symptom Evolution during Disease Progression , 2012, AMIA.