書目名稱 | Latent Variable Analysis and Signal Separation |
副標(biāo)題 | 14th International C |
編輯 | Yannick Deville,Sharon Gannot,Dominic Ward |
視頻video | http://file.papertrans.cn/582/581803/581803.mp4 |
叢書名稱 | Lecture Notes in Computer Science |
圖書封面 |  |
描述 | This book constitutes the proceedings of the 14th International Conference on Latent Variable Analysis and Signal Separation, LVA/ICA?2018, held in? Guildford, UK, in July 2018..The 52 full papers? were carefully reviewed and selected from 62 initial submissions.?.As research topics the papers encompass a wide range of general mixtures of latent variables models but also theories and tools drawn from a great variety of disciplines such as structured tensor decompositions and applications; matrix and tensor factorizations; ICA methods; nonlinear mixtures; audio data and methods; signal separation evaluation campaign; deep learning and data-driven methods; advances in phase retrieval and applications; sparsity-related methods; and biomedical data and methods. |
出版日期 | Conference proceedings 2018 |
關(guān)鍵詞 | Source separation; Non-negative matrix factorization; Audio; Biomedical signal processing; Matrix and te |
版次 | 1 |
doi | https://doi.org/10.1007/978-3-319-93764-9 |
isbn_softcover | 978-3-319-93763-2 |
isbn_ebook | 978-3-319-93764-9Series ISSN 0302-9743 Series E-ISSN 1611-3349 |
issn_series | 0302-9743 |
copyright | Springer International Publishing AG, part of Springer Nature 2018 |