Items where Author is "Michalski, Vincent"
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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.
Article
Kahou, S. E., Bouthillier, X., Lamblin, P., Gülçehre, Ç., Michalski, V., Konda, K., Jean, S., Froumenty, P., Dauphin, Y., Boulanger-Lewandowski, N., Ferrari, R. C., Mirza, M., Warde-Farley, D., Courville, A., Vincent, P., Memisevic, R., Pal, C. J., & Bengio, Y. (2016). EmoNets: Multimodal deep learning approaches for emotion recognition in video. Journal on Multimodal User Interfaces, 10(2), 99-111. External link
Paper
Li, R., Kahou, S. E., Schulz, H., Michalski, V., Charlin, L., & Pal, C. J. (2018, December). Towards deep conversational recommendations [Paper]. 32nd Conference on Neural Information Processing Systems (NIPS 2018), Montréal, Canada (11 pages). External link
Kahou, S. E., Michalski, V., Memisevic, R., Pal, C. J., & Vincent, P. (2017, July). RATM: Recurrent Attentive Tracking Model [Paper]. 30th IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW 2017), Honolulu, HI, United states. External link
Kahou, S. E., Michalski, V., Konda, K., Memisevic, R., & Pal, C. J. (2015, November). Recurrent Neural Networks for Emotion Recognition in Video [Paper]. 17th International Conference on Multimodal Interaction (ICMI 2015), Seattle, USA. External link