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Journal ArticleDOI
Between-subject variability of muscle synergies during a complex motor skill
Julien Frère,François Hug +1 more
TL;DR: Although variability was found (especially for synergy #3), the gymnasts exhibited gross similar neuromuscular strategies when performing backward giant swings, confirming that the muscle synergies are consistent across participants, even during a skilled motor task that requires learning.
Journal ArticleDOI
Time–Frequency Matrix Feature Extraction and Classification of Environmental Audio Signals
Behnaz Ghoraani,Sridhar Krishnan +1 more
TL;DR: The results of the numerical simulation support the effectiveness of the proposed approach for environmental audio classification with over 10% accuracy-rate improvement compared to the MFCC features.
Proceedings ArticleDOI
Harmonic and inharmonic Nonnegative Matrix Factorization for Polyphonic Pitch transcription
TL;DR: A family of constrained NMF models are proposed, where each basis spectrum is expressed as a weighted sum of narrowband spectra consisting of a few adjacent partials at harmonic or inharmonic frequencies, showing outperform standard NMF on a database of piano excerpts.
Proceedings Article
Approximate inference and constrained optimization
TL;DR: In this article, the authors describe a class of algorithms that solve this typically non-convex constrained minimization problem through a sequence of convex constrained minimumizations of upper bounds on the Kikuchi free energy.
Proceedings ArticleDOI
A Reinforcement Learning Framework for Explainable Recommendation
TL;DR: A reinforcement learning framework for explainable recommendation that can explain any recommendation model (model-agnostic) and can flexibly control the explanation quality based on the application scenario is designed.
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Learning the parts of objects by non-negative matrix factorization
Positive matrix factorization: A non-negative factor model with optimal utilization of error estimates of data values†
Pentti Paatero,Unto Tapper +1 more