6 citations · 6 across the 20 of their papers we have counts for
3 papers · 1 filter
Sparse Harmonic Transforms: A New Class of Sublinear-time Algorithms for Learning Functions of Many Variables
Bosu Choi, Mark Iwen, Felix Krahmer
We develop fast and memory efficient numerical methods for learning functions of many variables that admit sparse representations in terms of general bounded orthonormal tensor pro…
On Recovery Guarantees for One-Bit Compressed Sensing on Manifolds
Mark A. Iwen, Felix Krahmer, Sara Krause-Solberg +1
This paper studies the problem of recovering a signal from one-bit compressed sensing measurements under a manifold model; that is, assuming that the signal lies on or near a manif…
Extension of PCA to Higher Order Data Structures: An Introduction to Tensors, Tensor Decompositions, and Tensor PCA
Ali Zare, Alp Ozdemir, Mark A. Iwen +1
The widespread use of multisensor technology and the emergence of big data sets have brought the necessity to develop more versatile tools to represent higher-order data with multi…