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Mircea Nicolescu

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

◀ ▶ joint publications with Amol Ambardekar

> Home > Persons > Mircea Nicolescu

Publications

2014
[j14]
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  - journals/ejivp/AmbardekarNBN14
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  - https://dblp.org/rec/journals/ejivp/AmbardekarNBN14
Amol Ambardekar, Mircea Nicolescu, George Bebis, Monica N. Nicolescu:
Vehicle classification framework: a comparative study. EURASIP J. Image Video Process. 2014: 29 (2014)
2013
[j12]
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  - journals/jei/AmbardekarNBN13
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  - https://dblp.org/rec/journals/jei/AmbardekarNBN13
Amol Ambardekar, Mircea Nicolescu, George Bebis, Monica N. Nicolescu:
Visual traffic surveillance framework: classification to event detection. J. Electronic Imaging 22(4): 041112 (2013)
2012
[j11]
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  - journals/tamd/KelleyTKANN12
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  - https://dblp.org/rec/journals/tamd/KelleyTKANN12
Richard Kelley, Alireza Tavakkoli, Christopher King, Amol Ambardekar, Monica N. Nicolescu, Mircea Nicolescu:
Context-Based Bayesian Intent Recognition. IEEE Trans. Auton. Ment. Dev. 4(3): 215-225 (2012)
2010
[c34]
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  dblp key:
  - conf/icinco/KelleyKANNT10
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Richard Kelley, Christopher King, Amol Ambardekar, Monica N. Nicolescu, Mircea Nicolescu, Alireza Tavakkoli:
Integrating Context into Intent Recognition Systems. ICINCO (2) 2010: 315-320
[c33]
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  dblp key:
  - conf/ipcv/AmbardekarTNN10
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Amol Ambardekar, Alireza Tavakkoli, Mircea Nicolescu, Monica N. Nicolescu:
A Developmental Framework for Visual Learning in Robotics. IPCV 2010: 382-387
2009
[c31]
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  - conf/achi/AmbardekarND09
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Amol Ambardekar, Mircea Nicolescu, Sergiu Dascalu:
Ground Truth Verification Tool (GTVT) for Video Surveillance Systems. ACHI 2009: 354-359
2007
[c16]
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  - conf/isvc/TavakkoliANL07
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  - https://dblp.org/rec/conf/isvc/TavakkoliANL07
Alireza Tavakkoli, Amol Ambardekar, Mircea Nicolescu, Sushil J. Louis:
A Genetic Approach to Training Support Vector Data Descriptors for Background Modeling in Video Data. ISVC (2) 2007: 318-327

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