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The International Workshop on Reading Music Systems (WoRMS) is a workshop that tries to connect researchers who develop systems for reading music, such as in the field of Optical Music Recognition, with other researchers and practitioners…

计算机视觉与模式识别 · 计算机科学 2022-11-28 Jorge Calvo-Zaragoza , Alexander Pacha , Elona Shatri

The International Workshop on Reading Music Systems (WoRMS) is a workshop that tries to connect researchers who develop systems for reading music, such as in the field of Optical Music Recognition, with other researchers and practitioners…

计算机视觉与模式识别 · 计算机科学 2023-01-25 Jorge Calvo-Zaragoza , Jan Hajič , Alexander Pacha

The International Workshop on Reading Music Systems (WoRMS) is a workshop that tries to connect researchers who develop systems for reading music, such as in the field of Optical Music Recognition, with other researchers and practitioners…

计算机视觉与模式识别 · 计算机科学 2022-12-02 Jorge Calvo-Zaragoza , Alexander Pacha

The International Workshop on Reading Music Systems (WoRMS) is a workshop that tries to connect researchers who develop systems for reading music, such as in the field of Optical Music Recognition, with other researchers and practitioners…

计算机视觉与模式识别 · 计算机科学 2022-12-02 Jorge Calvo-Zaragoza , Alexander Pacha

The International Workshop on Reading Music Systems (WoRMS) is a workshop that tries to connect researchers who develop systems for reading music, such as in the field of Optical Music Recognition, with other researchers and practitioners…

计算机视觉与模式识别 · 计算机科学 2023-11-08 Jorge Calvo-Zaragoza , Alexander Pacha , Elona Shatri

Optical Music Recognition (OMR) is concerned with transcribing sheet music into a machine-readable format. The transcribed copy should allow musicians to compose, play and edit music by taking a picture of a music sheet. Complete…

计算机视觉与模式识别 · 计算机科学 2020-06-23 Elona Shatri , György Fazekas

Optical Music Recognition (OMR) is an important technology in music and has been researched for a long time. Previous approaches for OMR are usually based on CNN for image understanding and RNN for music symbol classification. In this…

计算与语言 · 计算机科学 2023-08-21 Yixuan Li , Huaping Liu , Qiang Jin , Miaomiao Cai , Peng Li

This volume contains the proceedings of MARS 2024, the sixth workshop on Models for Formal Analysis of Real Systems, held as part of ETAPS 2024, the European Joint Conferences on Theory and Practice of Software. The MARS workshops bring…

计算机科学中的逻辑 · 计算机科学 2024-03-27 Frédéric Lang , Matthias Volk

Music recommender systems (MRS) have experienced a boom in recent years, thanks to the emergence and success of online streaming services, which nowadays make available almost all music in the world at the user's fingertip. While today's…

信息检索 · 计算机科学 2018-04-11 Markus Schedl , Hamed Zamani , Ching-Wei Chen , Yashar Deldjoo , Mehdi Elahi

This volume contains the joint proceedings of MARS 2018, the third workshop on Models for Formal Analysis of Real Systems, and VPT 2018, the sixth international workshop on Verification and Program Transformation, held together on April 20,…

计算机科学中的逻辑 · 计算机科学 2018-03-26 John P. Gallagher , Rob van Glabbeek , Wendelin Serwe

We propose the first workshop on Building Innovative Research Systems for Digital Libraries (BIRDS) to take place at TPDL 2025 as a full-day workshop. BIRDS addresses practitioners working in digital libraries and GLAMs as well as…

数字图书馆 · 计算机科学 2025-10-01 Christin Katharina Kreutz , Hermann Kroll

Modern online services continuously generate data at very fast rates. This continuous flow of data encompasses content - e.g., posts, news, products, comments -, but also user feedback - e.g., ratings, views, reads, clicks -, together with…

信息检索 · 计算机科学 2022-01-19 João Vinagre , Alípio Mário Jorge , Marie Al-Ghossein , Albert Bifet

For over 50 years, researchers have been trying to teach computers to read music notation, referred to as Optical Music Recognition (OMR). However, this field is still difficult to access for new researchers, especially those without a…

计算机视觉与模式识别 · 计算机科学 2020-07-30 Jorge Calvo-Zaragoza , Jan Hajič , Alexander Pacha

This volume contains the proceedings of MARS 2022, the fifth workshop on Models for Formal Analysis of Real Systems, held as part of ETAPS 2022, the European Joint Conferences on Theory and Practice of Software. The MARS workshops bring…

计算机科学中的逻辑 · 计算机科学 2022-03-18 Clemens Dubslaff , Bas Luttik

This volume contains the proceedings of the Sixth Workshop on Intersection Types and Related Systems (ITRS 2012). The workshop was held in Dubrovnik (Croatia) on June 29th, 2012, affiliated to Twenty-Seventh Annual ACM/IEEE Symposium on…

编程语言 · 计算机科学 2013-07-31 Stéphane Graham-Lengrand , Luca Paolini

The main challenges of Optical Music Recognition (OMR) come from the nature of written music, its complexity and the difficulty of finding an appropriate data representation. This paper provides a first look at DoReMi, an OMR dataset that…

信息检索 · 计算机科学 2021-07-19 Elona Shatri , György Fazekas

This volume contains a final and revised selection of papers presented at Twelfth Workshop on Developments in Computational Models (DCM 2018) and the Ninth Workshop on Intersection Types and Related Systems (ITRS 2018), held on July 8, 2018…

计算机科学中的逻辑 · 计算机科学 2019-04-23 Michele Pagani , Sandra Alves

This volume contains the proceedings of the First International Workshop on Rewriting Techniques for Real-Time Systems (RTRTS 2010), held in Longyearbyen, Spitsbergen, on April 6-9, 2010. The aim of the workshop is to bring together…

计算机科学中的逻辑 · 计算机科学 2010-09-22 Peter Csaba Ölveczky

A large amount of musical heritage has been digitised by memory institutions: libraries, museums, and archives. Nevertheless, the field of Optical Music Recognition (OMR) has struggled with making this music machine-readable, despite…

Bibliometric-enhanced Information Retrieval (BIR) workshops serve as the annual gathering of IR researchers who address various information-related tasks on scientific corpora and bibliometrics. The workshop features original approaches to…

信息检索 · 计算机科学 2017-11-01 Philipp Mayr , Ingo Frommholz , Guillaume Cabanac
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