Matches in SemOpenAlex for { <https://semopenalex.org/work/W3161370621> ?p ?o ?g. }
Showing items 1 to 59 of
59
with 100 items per page.
- W3161370621 abstract "A method of human identification using micro-doppler data based on a lightweight neural network is proposed. It can identity various gaits and different person effectively, and the amount of computation and the number of parameters of the model can be reduced also. The principle like that used in linear phase finite impulse response filter in digital signal processing is utilized here. The proposed LPCP-Conv kernel can lower the storage cost and the computational complexity of the model. The results of experiments show that the proposed algorithm can decrease the quality of computation and the number of parameters effectively, as well as improving the accuracy. The LPCP-Conv kernel is friendly to hardware accelerator with low power design for reducing the cost of memory access." @default.
- W3161370621 created "2021-05-24" @default.
- W3161370621 creator A5000597313 @default.
- W3161370621 creator A5067631851 @default.
- W3161370621 creator A5080922192 @default.
- W3161370621 creator A5086201515 @default.
- W3161370621 creator A5088739970 @default.
- W3161370621 date "2021-01-28" @default.
- W3161370621 modified "2023-09-24" @default.
- W3161370621 title "Human identification using micro-motion and LPCP-Cov neural networks" @default.
- W3161370621 cites W2097117768 @default.
- W3161370621 cites W2883780447 @default.
- W3161370621 cites W2963125010 @default.
- W3161370621 cites W2963163009 @default.
- W3161370621 cites W2963918968 @default.
- W3161370621 doi "https://doi.org/10.1145/3448734.3450812" @default.
- W3161370621 hasPublicationYear "2021" @default.
- W3161370621 type Work @default.
- W3161370621 sameAs 3161370621 @default.
- W3161370621 citedByCount "0" @default.
- W3161370621 crossrefType "proceedings-article" @default.
- W3161370621 hasAuthorship W3161370621A5000597313 @default.
- W3161370621 hasAuthorship W3161370621A5067631851 @default.
- W3161370621 hasAuthorship W3161370621A5080922192 @default.
- W3161370621 hasAuthorship W3161370621A5086201515 @default.
- W3161370621 hasAuthorship W3161370621A5088739970 @default.
- W3161370621 hasConcept C104114177 @default.
- W3161370621 hasConcept C116834253 @default.
- W3161370621 hasConcept C154945302 @default.
- W3161370621 hasConcept C31972630 @default.
- W3161370621 hasConcept C41008148 @default.
- W3161370621 hasConcept C50644808 @default.
- W3161370621 hasConcept C59822182 @default.
- W3161370621 hasConcept C86803240 @default.
- W3161370621 hasConceptScore W3161370621C104114177 @default.
- W3161370621 hasConceptScore W3161370621C116834253 @default.
- W3161370621 hasConceptScore W3161370621C154945302 @default.
- W3161370621 hasConceptScore W3161370621C31972630 @default.
- W3161370621 hasConceptScore W3161370621C41008148 @default.
- W3161370621 hasConceptScore W3161370621C50644808 @default.
- W3161370621 hasConceptScore W3161370621C59822182 @default.
- W3161370621 hasConceptScore W3161370621C86803240 @default.
- W3161370621 hasLocation W31613706211 @default.
- W3161370621 hasOpenAccess W3161370621 @default.
- W3161370621 hasPrimaryLocation W31613706211 @default.
- W3161370621 hasRelatedWork W2029249305 @default.
- W3161370621 hasRelatedWork W2105769806 @default.
- W3161370621 hasRelatedWork W2115571026 @default.
- W3161370621 hasRelatedWork W2144043954 @default.
- W3161370621 hasRelatedWork W2511137960 @default.
- W3161370621 hasRelatedWork W2604231787 @default.
- W3161370621 hasRelatedWork W2610014769 @default.
- W3161370621 hasRelatedWork W2687972263 @default.
- W3161370621 hasRelatedWork W2895616727 @default.
- W3161370621 hasRelatedWork W3214088465 @default.
- W3161370621 isParatext "false" @default.
- W3161370621 isRetracted "false" @default.
- W3161370621 magId "3161370621" @default.
- W3161370621 workType "article" @default.