Zobrazeno 1 - 10
of 72
pro vyhledávání: '"MICKELIN, OSCAR"'
Cryo-electron microscopy (Cryo-EM) is a widely-used technique for recovering the 3-D structure of biological molecules from a large number of experimentally generated noisy 2-D tomographic projection images of the 3-D structure, taken from unknown vi
Externí odkaz:
http://arxiv.org/abs/2410.06889
We devise fast and provably accurate algorithms to transform between an $N\times N \times N$ Cartesian voxel representation of a three-dimensional function and its expansion into the ball harmonics, that is, the eigenbasis of the Dirichlet Laplacian
Externí odkaz:
http://arxiv.org/abs/2406.05922
The classical beltway problem entails recovering a set of points from their unordered pairwise distances on the circle. This problem can be viewed as a special case of the crystallographic phase retrieval problem of recovering a sparse signal from it
Externí odkaz:
http://arxiv.org/abs/2402.03787
Autor:
Zhang, Andy, Mickelin, Oscar, Kileel, Joe, Verbeke, Eric J., Marshall, Nicholas F., Gilles, Marc Aurèle, Singer, Amit
Single particle cryogenic electron microscopy (cryo-EM) is an imaging technique capable of recovering the high-resolution 3-D structure of biological macromolecules from many noisy and randomly oriented projection images. One notable approach to 3-D
Externí odkaz:
http://arxiv.org/abs/2401.15183
Principal component analysis (PCA) plays an important role in the analysis of cryo-EM images for various tasks such as classification, denoising, compression, and ab-initio modeling. We introduce a fast method for estimating a compressed representati
Externí odkaz:
http://arxiv.org/abs/2210.17501
Publikováno v:
Proceedings of the National Academy of Sciences 120.18 (2023): e2216507120
The number of noisy images required for molecular reconstruction in single-particle cryo-electron microscopy (cryo-EM) is governed by the autocorrelations of the observed, randomly-oriented, noisy projection images. In this work, we consider the effe
Externí odkaz:
http://arxiv.org/abs/2209.10531
We present a fast and numerically accurate method for expanding digitized $L \times L$ images representing functions on $[-1,1]^2$ supported on the disk $\{x \in \mathbb{R}^2 : |x|<1\}$ in the harmonics (Dirichlet Laplacian eigenfunctions) on the dis
Externí odkaz:
http://arxiv.org/abs/2207.13674
Autor:
Mickelin, Oscar
This thesis studies several distinct, but related, aspects of numerical tensor calculus. First, we introduce a simple, black-box compression format for tensors with a multiscale structure. By representing the tensor as a sum of compressed tensors def
Externí odkaz:
https://hdl.handle.net/1721.1/139243
Autor:
Marshall, Nicholas F., Mickelin, Oscar
We study how the learning rate affects the performance of a relaxed randomized Kaczmarz algorithm for solving $A x \approx b + \varepsilon$, where $A x =b$ is a consistent linear system and $\varepsilon$ has independent mean zero random entries. We d
Externí odkaz:
http://arxiv.org/abs/2202.12224
When is heterogeneity in the composition of an autonomous robotic team beneficial and when is it detrimental? We investigate and answer this question in the context of a minimally viable model that examines the role of heterogeneous speeds in perimet
Externí odkaz:
http://arxiv.org/abs/2202.10433