Determinantal Point Processes for Image Processing
From MaRDI portal
Publication:5860285
DOI10.1137/20M1327306zbMath1474.60134OpenAlexW3027751494MaRDI QIDQ5860285
Agnès Desolneux, Bruno Galerne, Claire Launay
Publication date: 19 November 2021
Published in: SIAM Journal on Imaging Sciences (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1137/20m1327306
Random fields; image analysis (62M40) Computing methodologies for image processing (68U10) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) Point processes (e.g., Poisson, Cox, Hawkes processes) (60G55)
Related Items
Asymptotic approximation of the likelihood of stationary determinantal point processes, Local repulsion of planar Gaussian critical points
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Quantifying repulsiveness of determinantal point processes
- On matrices having equal corresponding principal minors
- Determinantal processes and independence
- Principal minors and diagonal similarity of matrices
- Matrices diagonally similar to a symmetric matrix
- Flows on graphs applied to diagonal similarity and diagonal equivalence for matrices
- Random point fields associated with certain Fredholm determinants. I: Fermion, Poisson and Boson point processes.
- Stationary determinantal processes: phase multiplicity, Bernoullicity, entropy, and domination
- Random point fields associated with certain Fredholm determinants. II: Fermion shifts and their ergodic and Gibbs properties
- Gaussian limit for determinantal random point fields.
- Asymptotic equivalence of fixed-size and varying-size determinantal point processes
- An efficient algorithm for the symmetric principal minor assignment problem
- Mixing properties and central limit theorem for associated point processes
- Determinantal random point fields
- Determinantal Point Processes for Machine Learning
- Outlier Analysis
- Contrast Estimation for Parametric Stationary Determinantal Point Processes
- Block-circulant matrices with circulant blocks, Weil sums, and mutually unbiased bases. II. The prime power case
- The coincidence approach to stochastic point processes
- Validation of subgradient optimization
- Adaptive estimating function inference for nonstationary determinantal point processes
- Stochastic Geometry and Wireless Networks: Volume I Theory
- High-Dimensional Mixture Models for Unsupervised Image Denoising (HDMI)
- Statistics for Spatial Data
- Random Phase Textures: Theory and Synthesis
- Determinantal Point Process Models and Statistical Inference
- Introduction to vector quantization and its applications for numerics