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Robust Indoor Location Estimation of Stationary and Mobile Users.

Y. Gwon, R. Jain, and T. Kawahara. INFOCOM, page 1032-1043. IEEE, (2004)

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Inferring Origin Flow Patterns in Wi-Fi with Deep Learning.Y. Gwon, and H. Kung. ICAC, page 73-83. USENIX Association, (2014)Compressive sensing with optimal sparsifying basis and applications in spectrum sensing.Y. Gwon, H. Kung, and D. Vlah. GLOBECOM, page 5386-5391. IEEE, (2012)SelfMatch: Combining Contrastive Self-Supervision and Consistency for Semi-Supervised Learning.B. Kim, J. Choo, Y. Kwon, S. Joe, S. Min, and Y. Gwon. CoRR, (2021)Error characteristics and calibration-free techniques for wireless LAN-based location estimation.Y. Gwon, and R. Jain. Mobility Management & Wireless Access Protocols, page 2-9. ACM, (2004)Multimodal sparse representation learning and applications.M. Cha, Y. Gwon, and H. Kung. CoRR, (2015)A Chip Architecture for Compressive Sensing Based Detection of IC Trojans.Y. Tsai, K. Huang, H. Kung, D. Vlah, Y. Gwon, and L. Chen. SiPS, page 61-66. IEEE, (2012)Shuffle & Divide: Contrastive Learning for Long Text.J. Lee, S. Joe, K. Park, B. Kim, H. Kang, J. Park, and Y. Gwon. ICPR, page 2935-2941. IEEE, (2022)VaB-AL: Incorporating Class Imbalance and Difficulty With Variational Bayes for Active Learning.J. Choi, K. Yi, J. Kim, J. Choo, B. Kim, J. Chang, Y. Gwon, and H. Chang. CVPR, page 6749-6758. Computer Vision Foundation / IEEE, (2021)Multi-Modal Audio, Video and Physiological Sensor Learning for Continuous Emotion Prediction.K. Brady, Y. Gwon, P. Khorrami, E. Godoy, W. Campbell, C. Dagli, and T. Huang. AVEC@ACM Multimedia, page 97-104. ACM, (2016)DoFNet: Depth of Field Difference Learning for Detecting Image Forgery.Y. Jeong, J. Choi, D. Kim, S. Park, M. Hong, C. Park, S. Min, and Y. Gwon. ACCV (6), volume 12627 of Lecture Notes in Computer Science, page 83-100. Springer, (2020)

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Robust Indoor Location Estimation of Stationary and Mobile Users.

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Disambiguation of "Gwon, Youngjune"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Robust Indoor Location Estimation of Stationary and Mobile Users.

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Robust Indoor Location Estimation of Stationary and Mobile Users.