Results 51 to 60 of about 56,010 (260)

Intelligent Supportive System for People with Profound Intellectual and Multiple Disabilities

Advanced Intelligent Systems, EarlyView.
A holistic INSENSION system is developed—a novel intelligent decision support system leveraging state‐of‐the‐art noninvasive audio‐visual sensor technologies together with machine learning algorithms and expert knowledge, to detect and interpret behaviors and communications (nonverbal signals—NVSs) of people with PIMD in challenging real‐world ...
Gašper Slapničar, Michał Kosiedowski, Arkadiusz Radziuk, Erik Dovgan, Torsten Hammann, Meike Engelhardt, Christin Kupitz, Carmen Campomanes‐Alvarez, Dorota Janczewska, Peter Zentel, Mitja Luštrek   +10 more
wiley   +1 more source

Hidden Markov models as priors for regularized nonnegative matrix factorization in single-channel source separation [PDF]

, 2012
We propose a new method to incorporate rich statistical priors, modeling temporal gain sequences in the solutions of nonnegative matrix factorization (NMF). The proposed method can be used for single-channel source separation (SCSS) applications.
Erdogan, Hakan, Erdoğan, Hakan, Grais, Emad Mounir   +2 more
core  

From Schritte and Wechsel to Coxeter Groups

, 2019
The PLR-moves of neo-Riemannian theory, when considered as reflections on the edges of an equilateral triangle, define the Coxeter group $\widetilde S_3$. The elements are in a natural one-to-one correspondence with the triangles in the infinite Tonnetz.
A Björner, AS Crans, R Cohn, R Cohn, R Cohn, R Cohn   +5 more
core   +1 more source

Multiple-Instance Learning For Music Information Retrieval.

, 2008
[TODO] Add abstract here.
Mandel, Michael I., Ellis, Daniel P. W.
openaire   +2 more sources

Multiple scaling behaviour and nonlinear traits in music scores [PDF]

Royal Society Open Science, 2017
We present a statistical analysis of music scores from different composers using detrended fluctuation analysis (DFA). We find different fluctuation profiles that correspond to distinct autocorrelation structures of the musical pieces. Further, we reveal evidence for the presence of nonlinear autocorrelations by estimating the DFA of the magnitude ...
Alfredo González-Espinoza, Hernán Larralde, Gustavo Martínez-Mekler, Markus Müller   +3 more
openaire   +4 more sources

Computational Models of Multisensory Integration with Recurrent Neural Networks: A Critical Review and Future Directions

Advanced Intelligent Systems, EarlyView.
This review outlines how recurrent neural networks model multisensory integration by capturing temporal and probabilistic features of sensory input. Key developments, challenges, and future directions are summarized, providing insights into biologically inspired AI. Multisensory integration (MSI) is a core brain function underlying perception, learning,
Ehsan Bolhasani, Seyed Hamed Aboutalebi, Yaser Merrikhi   +2 more
wiley   +1 more source

Gaussian mixture gain priors for regularized nonnegative matrix factorization in single-channel source separation [PDF]

, 2012
We propose a new method to incorporate statistical priors on the solution of the nonnegative matrix factorization (NMF) for single-channel source separation (SCSS) applications.
Erdogan, Hakan, Erdoğan, Hakan, Grais, Emad Mounir   +2 more
core  

“You're this person who's providing light”: Embodied responses to information loss and transition within LGBTQIA+ communities

Journal of the Association for Information Science and Technology, EarlyView.
Abstract This paper reports on findings from 15 semi‐structured interviews with LGBTQIA+ individuals within the United States who have experienced the loss of one or more LGBTQIA+ information spaces. The paper specifically focuses on how such losses occurred and the information transitions experienced by the participants in response to this loss ...
Travis L. Wagner, Vanessa L. Kitzie
wiley   +1 more source

On Sampling Strategies for Neural Network-based Collaborative Filtering

, 2017
Recent advances in neural networks have inspired people to design hybrid recommendation algorithms that can incorporate both (1) user-item interaction information and (2) content information including image, audio, and text.
Bordes Antoine, Chen Tianqi, Chen Ting, Collobert Ronan, den Oord Aaron Van, Gopalan Prem K, Kingma Diederik, Krizhevsky Alex, Lin Xiao, Mikolov T, Reddi Sashank J, Rendle Steffen, Salakhutdinov Ruslan, Zhang Xiang, Zhao Peilin, Zheng Yin   +15 more
core   +1 more source

Ensemble‐based soil liquefaction assessment: Leveraging CPT data for enhanced predictions

Civil Engineering Design, Volume 7, Issue 1, Page 23-35, March 2025.
Abstract This study focuses on predicting soil liquefaction, a critical phenomenon that can significantly impact the stability and safety of structures during seismic events. Accurate liquefaction assessment is vital for geotechnical engineering, as it informs the design and mitigation strategies needed to safeguard infrastructure and reduce the risk ...
Arsham Moayedi Far, Masoud Zare
wiley   +1 more source