Mircea Nicolescu, Ph.D.
Affiliations: | 2003 | University of Southern California, Los Angeles, CA, United States |
Area:
Computer ScienceGoogle:
"Mircea Nicolescu"Parents
Sign in to add mentorGerard G. Medioni | grad student | 2003 | USC | |
(A voting-based computational framwork for visual motion analysis and interpretation.) |
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Publications
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Hoseini P, Blankenburg J, Nicolescu M, et al. (2019) Active Eye-in-Hand Data Management to Improve the Robotic Object Detection Performance Computers. 8: 71 |
Rekabdar B, Fraser L, Nicolescu M, et al. (2018) A real-time spike-timing classifier of spatio-temporal patterns Neurocomputing. 311: 183-196 |
Koosha M, Alinodehi SPH, Nicolescu M, et al. (2017) Automatic evaluation of skin histopathological images for melanocytic features. Proceedings of Spie. 10140: 1014006 |
Rekabdar B, Nicolescu M, Saffar MT, et al. (2016) A Scale and Translation Invariant Approach for Early Classification of Spatio-Temporal Patterns Using Spiking Neural Networks Neural Processing Letters. 43: 327-343 |
Saffar M, Nicolescu M, Nicolescu M, et al. (2015) Intent Understanding Using an Activation Spreading Architecture Robotics. 4: 284-315 |
Rekabdar B, Nicolescu M, Kelley R. (2015) An Unsupervised Approach to Learning and Early Detection of Spatio-Temporal Patterns Using Spiking Neural Networks Journal of Intelligent and Robotic Systems: Theory and Applications. 80: 83-97 |
Ardakany AR, Nicolescu M, Nicolescu M. (2014) Improving Gender Classification Using an Extended Set of Local Binary Patterns International Journal of Multimedia Data Engineering and Management. 5: 47-66 |
Ambardekar A, Nicolescu M, Bebis G. (2014) Vehicle classification framework: a comparative study Eurasip Journal On Image and Video Processing. 2014 |
Ambardekar A, Nicolescu M, Bebis G. (2013) Visual traffic surveillance framework: Classification to event detection Journal of Electronic Imaging. 22 |
Amayeh G, Bebis G, Erol A, et al. (2009) Hand-based verification and identification using palm-finger segmentation and fusion Computer Vision and Image Understanding. 113: 477-501 |