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Penalized matrix decomposition for denoising, compression, and improved demixing of functional imaging data

https://doi.org/10.1101/334706
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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NoRMCorre: An online algorithm for piecewise rigid motion correction of calcium imaging data
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A penalized matrix decomposition, with applications to sparse principal components and canonical correlation analysis
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OnACID: Online Analysis of Calcium Imaging Data in Real Time*
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A Fast Gradient Method for Nonnegative Sparse Regression With Self-Dictionary
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Structured Sparse Principal Components Analysis With the TV-Elastic Net Penalty
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Fast and Robust Recursive Algorithmsfor Separable Nonnegative Matrix Factorization
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$\ell_1$ Trend Filtering
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SCALPEL: Extracting neurons from calcium imaging data
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Multi-scale approaches for high-speed imaging and analysis of large neural populations
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ABLE: An Activity-Based Level Set Segmentation Algorithm for Two-Photon Calcium Imaging Data
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Modular proximal optimization for multidimensional total-variation regularization
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Primal-Dual Active-Set Methods for Isotonic Regression and Trend Filtering
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When Does Non-Negative Matrix Factorization Give a Correct Decomposition into Parts?

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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