Privacy preserving back-propagation based on BGV on cloud
F Bu, Y Ma, Z Chen, H Xu - … Safety and Security, and 2015 IEEE …, 2015 - ieeexplore.ieee.org
Back-propagation is the most effective algorithm for training deep learning models that are
proved to have a great ability for big data feature learning. However, back-propagation is of …
proved to have a great ability for big data feature learning. However, back-propagation is of …
Quasi-periodicity detection via repetition invariance of path signatures
C Wang, L Luo, U Aickelin - … on Knowledge Discovery and Data Mining, 2023 - Springer
Periodicity or repetition detection has a wide varieties of use cases in human activity
tracking, music pattern discovery, physiological signal monitoring and more. While there …
tracking, music pattern discovery, physiological signal monitoring and more. While there …
Extracting process instances from user interaction logs
L Kornahrens, S Kritzler, DD Werth - Proceedings of the 4th International …, 2022 - dl.acm.org
Thoroughly documenting digital business processes in a company is a crucial and
necessary, yet cumbersome task. However, having detailed documentation of one's …
necessary, yet cumbersome task. However, having detailed documentation of one's …
[图书][B] Advances in Knowledge Discovery and Data Mining: 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2023, Osaka, Japan …
The 4-volume set LNAI 13935-13938 constitutes the proceedings of the 27th Pacific-Asia
Conference on Knowledge Discovery and Data Mining, PAKDD 2023, which took place in …
Conference on Knowledge Discovery and Data Mining, PAKDD 2023, which took place in …
Genre classification for musical documents based on extracted melodic patterns and clustering
BS Lin, TC Chen - … on Technologies and Applications of Artificial …, 2012 - ieeexplore.ieee.org
Genre classification for musical documents is conventionally based on keywords, statistical
features or low-level acoustic features. Such features are either lack of in-depth information …
features or low-level acoustic features. Such features are either lack of in-depth information …
[PDF][PDF] Classification de documents Multimédias: vers une approche générale
Résumé Dans cet article, nous présenterons une généralisation de la classification
numérique appliquée au texte, à l'image et au son. La notion de n-grams, qui avec les …
numérique appliquée au texte, à l'image et au son. La notion de n-grams, qui avec les …
On mining repeating pattern with gap constraint
SY Chiu, SC Chiu, JL Huang - 2009 11th IEEE International …, 2009 - ieeexplore.ieee.org
We in this paper propose a new concept, repeating patterns with gap constraint, to make
repeating patterns tolerate the delay of events. To mine repeating patterns with gap …
repeating patterns tolerate the delay of events. To mine repeating patterns with gap …
Mining frequent approximate sequential patterns
However, all these mining algorithms follow the exact matching sequential pattern definition.
It has been shown that the capacity to accommodate approximation in the mining process …
It has been shown that the capacity to accommodate approximation in the mining process …
縮編式自動編曲之研究
邱士銓， 黃俊龍 - 2010 - ir.lib.nycu.edu.tw
樂譜縮編(Score Reduction) 是一個透過縮編樂譜來達成為單一樂器編曲的過程. 在本篇論文中,
我們提出了一個使用樂譜縮編方法的編曲架構, 此架構可以自動化為一樣樂器進行編曲 …
我們提出了一個使用樂譜縮編方法的編曲架構, 此架構可以自動化為一樣樂器進行編曲 …