Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Latty, Raphaël"'
Post-silicon validation is one of the most critical processes in modern semiconductor manufacturing. Specifically, correct and deep understanding in test cases of manufactured devices is key to enable post-silicon tuning and debugging. This analysis
Externí odkaz:
http://arxiv.org/abs/2209.15249
Feature selection has drawn much attention over the last decades in machine learning because it can reduce data dimensionality while maintaining the original physical meaning of features, which enables better interpretability than feature extraction.
Externí odkaz:
http://arxiv.org/abs/2209.12282
In post-silicon validation, tuning is to find the values for the tuning knobs, potentially as a function of process parameters and/or known operating conditions. In this sense, an more efficient tuning requires identifying the most critical tuning kn
Externí odkaz:
http://arxiv.org/abs/2207.00336
Intelligent test requires efficient and effective analysis of high-dimensional data in a large scale. Traditionally, the analysis is often conducted by human experts, but it is not scalable in the era of big data. To tackle this challenge, variable s
Externí odkaz:
http://arxiv.org/abs/2207.00335
In recent years, the usage of ensemble learning in applications has grown significantly due to increasing computational power allowing the training of large ensembles in reasonable time frames. Many applications, e.g., malware detection, face recogni
Externí odkaz:
http://arxiv.org/abs/2111.09043
Increasing complexity of modern chips makes design validation more difficult. Existing approaches are not able anymore to cope with the complexity of tasks such as robust performance tuning in post-silicon validation. Therefore, we propose a novel ap
Externí odkaz:
http://arxiv.org/abs/2111.08995
Feature selection is generally used as one of the most important preprocessing techniques in machine learning, as it helps to reduce the dimensionality of data and assists researchers and practitioners in understanding data. Thereby, by utilizing fea
Externí odkaz:
http://arxiv.org/abs/2010.13631
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Latty, Raphaël Nicolas
On most musical instruments, especially on the guitar, it is possible to play the same note or chord in multiple ways. In this project, we develop a simple audio-based method to estimate the fingering of a note played on an acoustic guitar from a rec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______185::fe58d72d9f520cc6a009eb4411e6b2ce
https://infoscience.epfl.ch/record/228929
https://infoscience.epfl.ch/record/228929