Y
Yi Wang
Researcher at University of Minnesota
Publications - 18
Citations - 605
Yi Wang is an academic researcher from University of Minnesota. The author has contributed to research in topics: Affine transformation & Linear subspace. The author has an hindex of 8, co-authored 17 publications receiving 526 citations. Previous affiliations of Yi Wang include Duke University & California State University, Dominguez Hills.
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Journal ArticleDOI
Hybrid Linear Modeling via Local Best-Fit Flats
TL;DR: This work presents a simple and fast geometric method for modeling data by a union of affine subspaces, and gives extensive experimental evidence demonstrating the state of the art accuracy and speed of the suggested algorithms on these problems.
Journal ArticleDOI
ConceFT: Concentration of Frequency and Time via a multitapered synchrosqueezed transform
TL;DR: In this paper, a new method is proposed to determine the time-frequency content of time-dependent signals consisting of multiple oscillatory components, with time-varying amplitudes and instantaneous frequencies.
Journal ArticleDOI
ConceFT: concentration of frequency and time via a multitapered synchrosqueezed transform
TL;DR: A new method is proposed to determine the time–frequency content of time-dependent signals consisting of multiple oscillatory components, with time-varying amplitudes and instantaneous frequencies.
Journal ArticleDOI
Robust locally linear analysis with applications to image denoising and blind inpainting
TL;DR: This work develops a robust and iterative method for single subspace modeling and extends it to an iterative algorithm for modeling multiple subspaces and proves convergence for both algorithms.
Proceedings ArticleDOI
Randomized hybrid linear modeling by local best-fit flats
TL;DR: A very simple geometric method based on selecting a set of local best fit flats that minimize a global ℓ1 error measure for hybrid linear modeling and it is proven under certain geometric conditions that good local neighborhoods exist and are found by this method.