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pro vyhledávání: '"Harju, Manu"'
Autor:
Cornell, Samuele, Ebbers, Janek, Douwes, Constance, Martín-Morató, Irene, Harju, Manu, Mesaros, Annamaria, Serizel, Romain
The Detection and Classification of Acoustic Scenes and Events Challenge Task 4 aims to advance sound event detection (SED) systems in domestic environments by leveraging training data with different supervision uncertainty. Participants are challeng
Externí odkaz:
http://arxiv.org/abs/2406.08056
Autor:
Harju, Manu, Mesaros, Annamaria
Classification systems are normally trained by minimizing the cross-entropy between system outputs and reference labels, which makes the Kullback-Leibler divergence a natural choice for measuring how closely the system can follow the data. Precision
Externí odkaz:
http://arxiv.org/abs/2309.13938
In this paper, we study the use of soft labels to train a system for sound event detection (SED). Soft labels can result from annotations which account for human uncertainty about categories, or emerge as a natural representation of multiple opinions
Externí odkaz:
http://arxiv.org/abs/2302.14572
Strong labels are a necessity for evaluation of sound event detection methods, but often scarcely available due to the high resources required by the annotation task. We present a method for estimating strong labels using crowdsourced weak labels, th
Externí odkaz:
http://arxiv.org/abs/2107.12089
Autor:
Harju, Manu
Risk is a well-known turn based board game where the primary objective is nothing less than the world domination. Gameplay is based on battles between armies located in adjacent territories on the map of Earth. The combat's outcome is decided by roll
Externí odkaz:
http://arxiv.org/abs/1204.4082
Autor:
Harju, Manu
Machine breakdowns and maintenance breaks cause costly downtime in factories and power plants. Recognizing a breaking machine before the actual breakdown can reduce the downtime and size of the damage. The existing condition monitoring systems are us
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______4853::aa8a269ae606cf4a433931a4296a2ab1
https://trepo.tuni.fi/handle/10024/139392
https://trepo.tuni.fi/handle/10024/139392
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