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This graph maps the connections between all the collaborators of {}'s publications listed on this page.
Each link represents a collaboration on the same publication. The thickness of the link represents the number of collaborations.
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A word cloud is a visual representation of the most frequently used words in a text or a set of texts. The words appear in different sizes, with the size of each word being proportional to its frequency of occurrence in the text. The more frequently a word is used, the larger it appears in the word cloud. This technique allows for a quick visualization of the most important themes and concepts in a text.
In the context of this page, the word cloud was generated from the publications of the author {}. The words in this cloud come from the titles, abstracts, and keywords of the author's articles and research papers. By analyzing this word cloud, you can get an overview of the most recurring and significant topics and research areas in the author's work.
The word cloud is a useful tool for identifying trends and main themes in a corpus of texts, thus facilitating the understanding and analysis of content in a visual and intuitive way.
Bendaoudi, H., Gan, Q., Cheriet, F., Ben Tahar, H., & Langlois, J. M. P. (2015, December). A run-length encoding co-processor for retinal image texture analysis [Paper]. International Conference on Reconfigurable Computing and FPGAs (ReConFig 2015), Mexico City, Mexico (6 pages). External link
Farah, R., Gan, Q., Langlois, J. M. P., Bilodeau, G.-A., & Savaria, Y. (2014). A computationally efficient importance sampling tracking algorithm. Machine Vision and Applications, 25(7), 1761-1777. External link
Farah, R., Gan, Q., Langlois, J. M. P., Bilodeau, G.-A., & Savaria, Y. (2011, December). A tracking algorithm suitable for embedded systems implementation [Paper]. 18th IEEE International Conference on Electronics, Circuits and Systems (ICECS 2011), Beirut, Lebanon. External link
Gan, Q., Séoud, L., Ben Tahar, H., & Langlois, J. M. P. (2016, April). Memory efficient and constant time 2D-recursive spatial averaging filter for embedded implementations [Paper]. Real-Time Image and Video Processing 2016, part of Photonics Europe 2016, Brussels, Belgium. External link
Gan, Q. (2013). Efficient Implementation of Particle Filters in Application-Specific Instruction-Set Processor [Ph.D. thesis, École Polytechnique de Montréal]. Available
Gan, Q., Langlois, J. M. P., & Savaria, Y. (2013, August). A reformulated systematic resampling algorithm for particle filters and its parallel implementation in an application-specific instruction-set processor [Paper]. 56th IEEE International Midwest Symposium on Circuits and Systems (MWSCAS 2013), Columbus, OH, USA. External link