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Journal ArticleDOI
Muscle Synergy Organization Is Robust Across a Variety of Postural Perturbations
TL;DR: The robustness of synergy organization across perturbation types, postures, and animals suggests that muscle synergies controlling task-variables are a general construct used by the CNS for balance control.
Proceedings ArticleDOI
A scalable collaborative filtering framework based on co-clustering
T. George,Srujana Merugu +1 more
TL;DR: This paper designs incremental and parallel versions of the co-clustering algorithm and uses it to build an efficient real-time CF framework and demonstrates that this approach provides an accuracy comparable to that of the correlation and matrix factorization based approaches at a much lower computational cost.
Journal ArticleDOI
On the Convergence of Multiplicative Update Algorithms for Nonnegative Matrix Factorization
TL;DR: This paper proposes slight modifications of existing updates and proves their convergence, and techniques invented in this paper may be applied to prove the convergence for other bound-constrained optimization problems.
Journal ArticleDOI
Constrained Nonnegative Matrix Factorization for Image Representation
TL;DR: It is shown how explicitly combining label information improves the discriminating power of the resulting matrix decomposition, and the effectiveness of the novel algorithm in comparison to the state-of-the-art approaches through a set of evaluations based on real-world applications.
Journal ArticleDOI
Convolutive Speech Bases and Their Application to Supervised Speech Separation
TL;DR: The model proposed is a convolutive version of the nonnegative matrix factorization algorithm, which is very well suited for intuitively and efficiently representing magnitude spectra and its application on simultaneous speakers separation from monophonic recordings is presented.
Related Papers (5)
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