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Publications about 'Classification'
Articles in journal or book chapters
  1. S. Piérard, A. Lejeune, and M. Van Droogenbroeck. Boosting Shape Classifiers Accuracy by Considering the Inverse Shape. Journal of Pattern Recognition Research, 11(1):41-54, 2016. Keyword(s): Shape descriptor, Inverse shape, Object classification, Cover by rectangles, Zernike moments. [bibtex-entry]


  2. O. Barnich, S. Jodogne, and M. Van Droogenbroeck. Robust analysis of silhouettes by morphological size distributions, volume 4179 of Lecture Notes on Computer Science, pages 734-745. Springer Verlag, 2006. Keyword(s): Detection, Classification, Silhouette, Shape, Tracking, Human. [bibtex-entry]


Conference articles
  1. S. Piérard and M. Van Droogenbroeck. Summarizing the performances of a background subtraction algorithm measured on several videos. In IEEE International Conference on Image Processing (ICIP), Abu Dhabi, United Arab Emirates, pages 3234-3238, October 2020. Keyword(s): Background subtraction, Evaluation, Performance, Summarization, Change detection, Classification performance, CDNet 2014. [bibtex-entry]


  2. A. Deliège, A. Cioppa, and M. Van Droogenbroeck. An Effective Hit-or-Miss Layer Favoring Feature Interpretation as Learned Prototypes Deformations. In AAAI Conference on Artificial Intelligence, Workshop on Network Interpretability for Deep Learning, Honolulu, Hawaii, USA, pages 1-8, January 2019. Keyword(s): Deep learning, Machine learning, Artificial intelligence, Neural network, Classification, Capsule, HitNet, Hit-or-miss layer, Feature interpretation, Centripetal loss, Prototype, DeepSport. [bibtex-entry]


  3. M. Braham, S. Piérard, and M. Van Droogenbroeck. Semantic Background Subtraction. In IEEE International Conference on Image Processing, Beijing, China, pages 4552-4556, September 2017. Keyword(s): Background subtraction, Change detection, Semantic segmentation, Scene labeling, Scene parsing, Classification, Machine learning, Deep learning, CDNet 2014. [bibtex-entry]


  4. J. Osmalskyj, M. Van Droogenbroeck, and J.-J. Embrechts. Performances of low-level audio classifiers for large-scale music similarity. In International Conference on Systems, Signals and Image Processing (IWSSIP), Dubrovnik, Croatia, May 2014. Keyword(s): Audio features, Classification, Song, Music Information Retrieval, Rejector, Similarity. [bibtex-entry]


  5. J. Osmalskyj, J.-J. Embrechts, M. Van Droogenbroeck, and S. Piérard. Neural networks for musical chords recognition. In Journées d'informatique musicale, Mons, Belgium, pages 39-46, May 2012. Keyword(s): Chord, Recognition, Neural network, Classification. [bibtex-entry]


Miscellaneous
  1. M. Van Droogenbroeck, A. Deliège, and A. Cioppa. Image classification using neural networks. World Intellectual Property Organization, WO 2019/238976, 55 pages, December 2019. Keyword(s): Patent, Machine learning, Deep learning, Artificial intelligence, HitNet, Capsule, Data augmentation, DeepSport. [bibtex-entry]


  2. M. Van Droogenbroeck, A. Deliège, and A. Cioppa. Image classification using neural networks. European Patent Office, EP 3 582 142 A1, 32 pages, June 2018. Keyword(s): Patent, Machine learning, Deep learning, Artificial intelligence, HitNet, Capsule, Data augmentation, DeepSport. [bibtex-entry]


  3. S. Piérard, A. Lejeune, and M. Van Droogenbroeck. Recognition of emotions in facial images. Internal report, March 2012. Keyword(s): Face, Facial image, Emotion, Classification. [bibtex-entry]


  4. O. Barnich and M. Van Droogenbroeck. Classification of scenarios for persons crossing a door frame based on the joint measurements of two radial distance sensors. Final report of a research project, 42 pages, October 2009. Keyword(s): Laser, Range, Classification, Virtual curtain. [bibtex-entry]



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Last modified: Fri Oct 2 15:41:54 2020