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Indoor Person Identification Using a Low-Power FMCW Radar.

, , , , , , и . IEEE Trans. Geosci. Remote. Sens., 56 (7): 3941-3952 (2018)

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Baptist Schülner

Peter Baptist

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Peter Baptist

Otto Bernd Vandersmissen

 

Другие публикации лиц с тем же именем

Spatio-Temporal Wardrobe Generation of Actors' Clothing in Video Content., , , , и . HCI (3), том 9733 из Lecture Notes in Computer Science, стр. 448-459. Springer, (2016)What are we missing? An empirical exploration in the structural biases of hashtag-based sampling on Twitter., , , , и . First Monday, (2017)An Automated End-To-End Pipeline for Fine-Grained Video Annotation using Deep Neural Networks., , , , , и . ICMR, стр. 409-412. ACM, (2016)Ghent University-iMinds at MediaEval 2013 Diverse Images: Relevance-Based Hierarchical Clustering., , , , и . MediaEval, том 1043 из CEUR Workshop Proceedings, CEUR-WS.org, (2013)Automated Assessment of Bone Age Using Deep Learning and Gaussian Process Regression., , , , , , , , , и . EMBC, стр. 674-677. IEEE, (2018)Structured Inference Networks Using High-Dimensional Sensors for Surveillance Purposes., , , , и . EANN, том 893 из Communications in Computer and Information Science, стр. 16-27. Springer, (2018)Automatic GEO-MASHUP generation of outdoor activities., , , , , и . MoMM, стр. 100. ACM, (2013)Towards Twitter hashtag recommendation using distributed word representations and a deep feed forward neural network., , , , и . ICACCI, стр. 362-368. IEEE, (2014)Indoor Person Identification Using a Low-Power FMCW Radar., , , , , , и . IEEE Trans. Geosci. Remote. Sens., 56 (7): 3941-3952 (2018)Indoor human activity recognition using high-dimensional sensors and deep neural networks., , , , , и . Neural Comput. Appl., 32 (16): 12295-12309 (2020)