Sparse Kernel Learning for Image Annotation

Proceedings of International Conference on Multimedia Retrieval - ICMR '14 ◽

10.1145/2578726.2578734 ◽

2014 ◽

Author(s):

Sean Moran ◽

Victor Lavrenko

Keyword(s):

Image Annotation ◽

Kernel Learning ◽

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Improved atmospheric weighted mean temperature modeling using sparse kernel learning

GPS Solutions ◽

10.1007/s10291-020-01061-3 ◽

2021 ◽

Vol 25 (1) ◽

Author(s):

Liu Yang ◽

Guobin Chang ◽

Nijia Qian ◽

Jingxiang Gao

Keyword(s):

Kernel Learning ◽

Weighted Mean ◽

Temperature Modeling ◽

Mean Temperature ◽

Weighted Mean Temperature ◽

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Modeling label dependencies in kernel learning for image annotation

2014 IEEE International Conference on Image Processing (ICIP) ◽

10.1109/icip.2014.7026189 ◽

2014 ◽

Author(s):

Phong D. Vo ◽

Hichem Sahbi

Keyword(s):

Image Annotation ◽

Kernel Learning

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Modelling short-term variations of differential code bias aiding in extraction of ionospheric observables with sparse kernel learning

Advances in Space Research ◽

10.1016/j.asr.2022.01.006 ◽

2022 ◽

Author(s):

Lei Xu ◽

Zengke Li ◽

Jingxiang Gao ◽

Xu Yang ◽

Wenwen She

Keyword(s):

Kernel Learning ◽

Differential Code Bias ◽

Code Bias ◽

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Smoothing for continuous dynamical state space models with sampled system coefficients based on sparse kernel learning

Nonlinear Dynamics ◽

10.1007/s11071-020-05698-0 ◽

2020 ◽

Vol 100 (4) ◽

pp. 3597-3610 ◽

Author(s):

Nijia Qian ◽

Guobin Chang ◽

Jingxiang Gao

Keyword(s):

State Space ◽

State Space Models ◽

Kernel Learning ◽

Dynamical State ◽

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Nonlinear Deep Kernel Learning for Image Annotation

IEEE Transactions on Image Processing ◽

10.1109/tip.2017.2666038 ◽

2017 ◽

Vol 26 (4) ◽

pp. 1820-1832 ◽

Author(s):

Mingyuan Jiu ◽

Hichem Sahbi

Keyword(s):

Image Annotation ◽

Kernel Learning

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A simple trick for constructing bayesian formulations of sparse kernel learning methods

Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005. ◽

10.1109/ijcnn.2005.1556084 ◽

2006 ◽

Author(s):

G.C. Cawley ◽

N.L.C. Talbot

Keyword(s):

Kernel Learning ◽

Learning Methods ◽

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Optimal Sparse Kernel Learning in the Empirical Kernel Feature Space for Hyperspectral Classification

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing ◽

10.1109/jstars.2014.2314262 ◽

2014 ◽

Vol 7 (4) ◽

pp. 1217-1226 ◽

Author(s):

Prudhvi Gurram ◽

Heesung Kwon

Keyword(s):

Feature Space ◽

Kernel Learning ◽

Hyperspectral Classification ◽

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Optimal sparse kernel learning in the Empirical Kernel Feature Space for hyperspectral classification

2012 4th Workshop on Hyperspectral Image and Signal Processing (WHISPERS) ◽

10.1109/whispers.2012.6874273 ◽

2012 ◽

Author(s):

Prudhvi Gurram ◽

Heesung Kwon

Keyword(s):

Feature Space ◽

Kernel Learning ◽

Hyperspectral Classification ◽

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Image annotation by composite kernel learning with group structure

Proceedings of the 19th ACM international conference on Multimedia - MM '11 ◽

10.1145/2072298.2072049 ◽

2011 ◽

Author(s):

Ying Yuan ◽

Fei Wu ◽

Yueting Zhuang ◽

Jian Shao

Keyword(s):

Image Annotation ◽

Group Structure ◽

Kernel Learning ◽

Composite Kernel

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Precise instantaneous velocimetry and accelerometry with a stand-alone GNSS receiver based on sparse kernel learning

Measurement ◽

10.1016/j.measurement.2020.107803 ◽

2020 ◽

Vol 159 ◽

pp. 107803 ◽

Author(s):

Guobin Chang ◽

Nijia Qian ◽

Chao Chen ◽

Jingxiang Gao

Keyword(s):

Kernel Learning ◽

Gnss Receiver ◽

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