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pro vyhledávání: '"A Cancino"'
Automatic music transcription (AMT) for musical performances is a long standing problem in the field of Music Information Retrieval (MIR). Visual piano transcription (VPT) is a multimodal subproblem of AMT which focuses on extracting a symbolic repre
Externí odkaz:
http://arxiv.org/abs/2411.09037
We present three models concerning Tukey types of ultrafilters on $\omega$. The first model is built via a countable support iteration, and we show there is no basically generated ultrafilter in such model. The second and third models are built upon
Externí odkaz:
http://arxiv.org/abs/2410.08699
Autor:
Zhang, Huan, Chowdhury, Shreyan, Cancino-Chacón, Carlos Eduardo, Liang, Jinhua, Dixon, Simon, Widmer, Gerhard
In the pursuit of developing expressive music performance models using artificial intelligence, this paper introduces DExter, a new approach leveraging diffusion probabilistic models to render Western classical piano performances. In this approach, p
Externí odkaz:
http://arxiv.org/abs/2406.14850
Autor:
Villalpando, Edgar Marrufo, Drlica-Wagner, Alex, Roach, Brandon, Bonati, Marco, Bakshi, Abhishek, Campa, Julia, Cancelo, Gustavo, Cancino, Braulio, Chavez, Claudio R., Chierchie, Fernando, Estrada, Juan, Moroni, Guillermo Fernandez, Fraga, Luciano, Gaido, Manuel E., Holland, Stephen E., Hur, Rachel, Jonas, Michelle, Moore, Peter, Paolini, Eduardo, Malagón, Andrés A. Plazas, Stefanazzi, Leandro, Tiffenberg, Javier, Treptou, Ken, Uemura, Sho, Wilcer, Neal
Publikováno v:
Proc. SPIE 13103, X-Ray, Optical, and Infrared Detectors for Astronomy XI, 131030F (2024)
We present the first on-sky results from an ultra-low-readout-noise Skipper CCD focal plane prototype for the SOAR Integral Field Spectrograph (SIFS). The Skipper CCD focal plane consists of four 6k x 1k, 15 $\mu$m pixel, fully-depleted, p-channel de
Externí odkaz:
http://arxiv.org/abs/2406.10756
Automatic piano transcription models are typically evaluated using simple frame- or note-wise information retrieval (IR) metrics. Such benchmark metrics do not provide insights into the transcription quality of specific musical aspects such as articu
Externí odkaz:
http://arxiv.org/abs/2406.08454
Publikováno v:
International Journal of Health Governance, 2024, Vol. 29, Issue 4, pp. 385-396.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IJHG-09-2024-0110
Publikováno v:
Computer Science & Information Technology (CS & IT) ISSN : 2231 - 5403 Volume 14, Number 04, February 2024
Machine learning (ML) algorithms are predictively competitive algorithms with many human-impact applications. However, the issue of long execution time remains unsolved in the literature for high-dimensional spaces. This study proposes combining ML a
Externí odkaz:
http://arxiv.org/abs/2403.00542
Autor:
Butt, Sabur, Balouchzahi, Fazlourrahman, Meque, Abdul Gafar Manuel, Amjad, Maaz, Cancino, Hector G. Ceballos, Sidorov, Grigori, Gelbukh, Alexander
The intricate relationship between human decision-making and emotions, particularly guilt and regret, has significant implications on behavior and well-being. Yet, these emotions subtle distinctions and interplay are often overlooked in computational
Externí odkaz:
http://arxiv.org/abs/2401.16541
We answer in negative the problem if the existence of a P-measure implies the existence of a P-point. Namely, we show that if we add random reals to a certain unique P-point model, then in the resulting model we will have a P-measure but not P-points
Externí odkaz:
http://arxiv.org/abs/2401.14042
Publikováno v:
Proceedings of the Forum for Information Retrieval Evaluation, FIRE, 2023, Panjim, India
Semantic embeddings play a crucial role in natural language-based information retrieval. Embedding models represent words and contexts as vectors whose spatial configuration is derived from the distribution of words in large text corpora. While such
Externí odkaz:
http://arxiv.org/abs/2401.02979