Výsledky vyhledávání - "Pandit, Vedhas"

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The Many-to-Many Mapping Between the Concordance Correlation Coefficient and the Mean Square Error

We derive the mapping between two of the most pervasive utility functions, the mean square error ($MSE$) and the concordance correlation coefficient (CCC, $\rho_c$). Despite its drawbacks, $MSE$ is one of the most popular performance metrics (and a l

Externí odkaz: http://arxiv.org/abs/1902.05180

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SEWA DB: A Rich Database for Audio-Visual Emotion and Sentiment Research in the Wild

Autor: Kossaifi, Jean, Walecki, Robert, Panagakis, Yannis, Shen, Jie, Schmitt, Maximilian, Ringeval, Fabien, Han, Jing, Pandit, Vedhas, Toisoul, Antoine, Schuller, Bjorn, Star, Kam, Hajiyev, Elnar, Pantic, Maja

Publikováno v: IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019

Natural human-computer interaction and audio-visual human behaviour sensing systems, which would achieve robust performance in-the-wild are more needed than ever as digital devices are increasingly becoming an indispensable part of our life. Accurate

Externí odkaz: http://arxiv.org/abs/1901.02839

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Akademický článek

I see it in your eyes: Training the shallowest-possible CNN to recognise emotions and pain from muted web-assisted in-the-wild video-chats in real-time

Autor: Pandit, Vedhas, Schmitt, Maximilian, Cummins, Nicholas, Schuller, Björn

Publikováno v: In Information Processing and Management November 2020 57(6)

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Conference

The many-to-many mappings between the concordance correlation coefficient, the mean square error and the correlation coefficient.

Autor: Pandit, Vedhas, Schuller, Björn

Publikováno v: AIP Conference Proceedings; 2024, Vol. 3094 Issue 1, p1-5, 5p

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Akademický článek

Snoring classified: The Munich-Passau Snore Sound Corpus

Autor: Janott, Christoph, Schmitt, Maximilian, Zhang, Yue, Qian, Kun, Pandit, Vedhas, Zhang, Zixing, Heiser, Clemens, Hohenhorst, Winfried, Herzog, Michael, Hemmert, Werner, Schuller, Björn

Publikováno v: In Computers in Biology and Medicine 1 March 2018 94:106-118

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Time- and value-continuous explainable affect estimation in-the-wild

Autor: Pandit, Vedhas

Today, the relevance of Affective Computing, i.e., of making computers recognise and simulate human emotions, cannot be overstated. All technology giants (from manufacturers of laptops to mobile phones to smart speakers) are in a fierce competition t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______3341::aa06ef08df2f3427c405be06bf86e662
https://opus.bibliothek.uni-augsburg.de/opus4/frontdoor/index/index/docId/95492

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