Fast dynamic time warping using low-rank matrix approximations

2015 IEEE Workshop on Signal Processing Systems (SiPS) ◽

10.1109/sips.2015.7344993 ◽

2015 ◽

Author(s):

Mrugesh Gajjar ◽

Naga Vydyanathan

Keyword(s):

Dynamic Time Warping ◽

Low Rank ◽

Time Warping ◽

Rank Matrix ◽

Dynamic Time ◽

Low Rank Matrix ◽

Fast Dynamic ◽

Matrix Approximations

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Efficient Computation of Robust Weighted Low-Rank Matrix Approximations Using the L_1 Norm

IEEE Transactions on Pattern Analysis and Machine Intelligence ◽

10.1109/tpami.2012.116 ◽

2012 ◽

Vol 34 (9) ◽

pp. 1681-1690 ◽

Author(s):

A. Eriksson ◽

A. van den Hengel

Keyword(s):

Low Rank ◽

Efficient Computation ◽

Rank Matrix ◽

Low Rank Matrix ◽

Matrix Approximations

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Time Series K-Nearest Neighbors Classifier Based on Fast Dynamic Time Warping

2021 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA) ◽

10.1109/icaica52286.2021.9497898 ◽

2021 ◽

Author(s):

Jinghui Wang ◽

Yuanchao Zhao

Keyword(s):

Time Series ◽

Dynamic Time Warping ◽

Nearest Neighbors ◽

Time Warping ◽

K Nearest Neighbors ◽

Dynamic Time ◽

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Accurate and fast Dynamic Time Warping approximation using upper bounds

2015 38th International Conference on Telecommunications and Signal Processing (TSP) ◽

10.1109/tsp.2015.7296426 ◽

2015 ◽

Author(s):

Bilel Ben Ali ◽

Youssef Masmoudi ◽

Souhail Dhouib

Keyword(s):

Dynamic Time Warping ◽

Upper Bounds ◽

Time Warping ◽

Dynamic Time ◽

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Computing optimal low-rank matrix approximations for image processing

2013 Asilomar Conference on Signals, Systems and Computers ◽

10.1109/acssc.2013.6810366 ◽

2013 ◽

Author(s):

Julianne Chung ◽

Matthias Chung

Keyword(s):

Image Processing ◽

Low Rank ◽

Rank Matrix ◽

Low Rank Matrix ◽

Matrix Approximations

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Optical fiber perimeter signal recognition based on fast dynamic time warping

4th Optics Young Scientist Summit (OYSS 2020) ◽

10.1117/12.2590963 ◽

2021 ◽

Author(s):

Hainan Lu ◽

Ningning Wang ◽

Nian Fang ◽

Lutang Wang

Keyword(s):

Optical Fiber ◽

Dynamic Time Warping ◽

Signal Recognition ◽

Time Warping ◽

Dynamic Time ◽

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Action recognition based on Fast Dynamic-Time warping method

2009 IEEE 5th International Conference on Intelligent Computer Communication and Processing ◽

10.1109/iccp.2009.5284774 ◽

2009 ◽

Author(s):

Tamas Vajda

Keyword(s):

Action Recognition ◽

Dynamic Time Warping ◽

Time Warping ◽

Dynamic Time ◽

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Subspace-Orbit Randomized Decomposition for Low-Rank Matrix Approximations

IEEE Transactions on Signal Processing ◽

10.1109/tsp.2018.2853137 ◽

2018 ◽

Vol 66 (16) ◽

pp. 4409-4424 ◽

Author(s):

Maboud Farzaneh Kaloorazi ◽

Rodrigo C. de Lamare

Keyword(s):

Low Rank ◽

Rank Matrix ◽

Low Rank Matrix ◽

Matrix Approximations

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Low-Rank Matrix Approximations Do Not Need a Singular Value Gap

SIAM Journal on Matrix Analysis and Applications ◽

10.1137/18m1163658 ◽

2019 ◽

Vol 40 (1) ◽

pp. 299-319 ◽

Author(s):

Petros Drineas ◽

Ilse C. F. Ipsen

Keyword(s):

Singular Value ◽

Low Rank ◽

Rank Matrix ◽

Low Rank Matrix ◽

Matrix Approximations

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Low-rank matrix approximations for Coherent point drift

Pattern Recognition Letters ◽

10.1016/j.patrec.2014.10.005 ◽

2015 ◽

Vol 52 ◽

pp. 53-58 ◽

Author(s):

Ján Dupej ◽

Václav Krajíček ◽

Josef Pelikán

Keyword(s):

Low Rank ◽

Rank Matrix ◽

Coherent Point Drift ◽

Low Rank Matrix ◽

Matrix Approximations

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On Low Rank Matrix Approximations with Applications to Synthesis Problem in Compressed Sensing

SIAM Journal on Matrix Analysis and Applications ◽

10.1137/100792251 ◽

2011 ◽

Vol 32 (3) ◽

pp. 1019-1029 ◽

Author(s):

Anatoli Juditsky ◽

Fatma Kilinç karzan ◽

Arkadi Nemirovski

Keyword(s):

Compressed Sensing ◽

Synthesis Problem ◽

Low Rank ◽

Rank Matrix ◽

Low Rank Matrix ◽

Matrix Approximations

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