Search Results for author: Yikun Zhang

Found 5 papers, 5 papers with code

Mode and Ridge Estimation in Euclidean and Directional Product Spaces: A Mean Shift Approach

1 code implementation16 Oct 2021 Yikun Zhang, Yen-Chi Chen

The set of local modes and the ridge lines estimated from a dataset are important summary characteristics of the data-generating distribution.

Linear Convergence of the Subspace Constrained Mean Shift Algorithm: From Euclidean to Directional Data

2 code implementations29 Apr 2021 Yikun Zhang, Yen-Chi Chen

This paper studies the linear convergence of the subspace constrained mean shift (SCMS) algorithm, a well-known algorithm for identifying a density ridge defined by a kernel density estimator.

The EM Perspective of Directional Mean Shift Algorithm

1 code implementation25 Jan 2021 Yikun Zhang, Yen-Chi Chen

Under the (generalized) EM framework, we provide a new proof for the ascending property of density estimates and demonstrate the global convergence of directional mean shift sequences.

Kernel Smoothing, Mean Shift, and Their Learning Theory with Directional Data

1 code implementation23 Oct 2020 Yikun Zhang, Yen-Chi Chen

Directional data consist of observations distributed on a (hyper)sphere, and appear in many applied fields, such as astronomy, ecology, and environmental science.

Astronomy Clustering +1

Iterative Reconstruction for Low-Dose CT using Deep Gradient Priors of Generative Model

5 code implementations27 Sep 2020 Zhuonan He, Yikun Zhang, Yu Guan, Shanzhou Niu, Yi Zhang, Yang Chen, Qiegen Liu

Dose reduction in computed tomography (CT) is essential for decreasing radiation risk in clinical applications.

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