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Sample Complexity of Dictionary Learning and other Matrix Factorizations
TL;DR: In this article, the authors provide sample complexity estimates to uniformly control how much the empirical average deviates from the expected cost function, and show that the performance of the empirical predictor also exhibits such guarantees.
Journal ArticleDOI
Sparse non-negative tensor factorization using columnwise coordinate descent
TL;DR: This paper presents a fast and flexible algorithm for sparse non-negative tensor factorization (SNTF) based on columnwise coordinate descent (CCD), which is 1-2 orders of magnitude faster than several state-of-the-art algorithms.
Journal ArticleDOI
A unifying model of concurrent spatial and temporal modularity in muscle activity
Ioannis Delis,Stefano Panzeri,Stefano Panzeri,Thierry Pozzo,Thierry Pozzo,Thierry Pozzo,Bastien Berret,Bastien Berret +7 more
TL;DR: A new model is introduced (named space-by-time decomposition) that factorizes muscle activations into concurrent spatial and temporal modules that are compatible with the modules extracted from existing models, such as synchronous synergies and temporal primitives, and generalize time-varying synergies.
Proceedings ArticleDOI
Daily-Aware Personalized Recommendation based on Feature-Level Time Series Analysis
TL;DR: The Fourier-assisted Auto-Regressive Integrated Moving Average (FARIMA) process is developed to tackle with the year-long seasonal period of purchasing data to achieve daily-aware preference predictions, and the conditional opportunity models for daily- aware personalized recommendation are leveraged.
Journal ArticleDOI
Past review, current progress, and challenges ahead on the cocktail party problem
TL;DR: This overview paper focuses on the speech separation problem given its central role in the cocktail party environment, and describes the conventional single-channel techniques such as computational auditory scene analysis (CASA), non-negative matrix factorization (NMF) and generative models, and the newly developed deep learning-based techniques.
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Pentti Paatero,Unto Tapper +1 more