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Conference Paper: Inference in probabilistic models with applications to communications and signal processing
Title | Inference in probabilistic models with applications to communications and signal processing |
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Authors | |
Issue Date | 2018 |
Publisher | National Tsing-Hua University. |
Citation | Speech, Institute of Communications Engineering, National Tsing-Hua University, Hsinchu, Taiwan, 1 August 2018 How to Cite? |
Abstract | This talk shall briefly overview two inference techniques in machine learning, namely Gaussian Belief Propagation and Variational Inference, and demonstrates how they are applied to communications and signal processing problems. Surprisingly, these two machine learning inference techniques are general enough to tackle a wide range of problems. The applications to be covered include synchronization in large-scale networks, channel estimation under high mobility, power state estimation in smart grid, massive MIMO channel estimation, tensor decomposition, face classification, surveillance video objects separation, and image de-noising.
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Persistent Identifier | http://hdl.handle.net/10722/268970 |
DC Field | Value | Language |
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dc.contributor.author | Wu, YC | - |
dc.date.accessioned | 2019-04-08T08:59:40Z | - |
dc.date.available | 2019-04-08T08:59:40Z | - |
dc.date.issued | 2018 | - |
dc.identifier.citation | Speech, Institute of Communications Engineering, National Tsing-Hua University, Hsinchu, Taiwan, 1 August 2018 | - |
dc.identifier.uri | http://hdl.handle.net/10722/268970 | - |
dc.description.abstract | This talk shall briefly overview two inference techniques in machine learning, namely Gaussian Belief Propagation and Variational Inference, and demonstrates how they are applied to communications and signal processing problems. Surprisingly, these two machine learning inference techniques are general enough to tackle a wide range of problems. The applications to be covered include synchronization in large-scale networks, channel estimation under high mobility, power state estimation in smart grid, massive MIMO channel estimation, tensor decomposition, face classification, surveillance video objects separation, and image de-noising. | - |
dc.language | eng | - |
dc.publisher | National Tsing-Hua University. | - |
dc.relation.ispartof | National Tsing-Hua University, Institute of Communications Engineering, Speech | - |
dc.title | Inference in probabilistic models with applications to communications and signal processing | - |
dc.type | Conference_Paper | - |
dc.identifier.email | Wu, YC: ycwu@eee.hku.hk | - |
dc.identifier.authority | Wu, YC=rp00195 | - |
dc.identifier.hkuros | 289222 | - |
dc.publisher.place | Taiwan | - |