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Found 4 papers, 1 papers with code
On the properties of some low-parameter models for color reproduction in terms of spectrum transformations and coverage of a color triangle
One of the classical approaches to solving color reproduction problems, such as color adaptation or color space transform, is the use of low-parameter spectral models.
Robust $k$-means Clustering for Distributions with Two Moments
We consider the robust algorithms for the $k$-means clustering problem where a quantizer is constructed based on $N$ independent observations.
Image Registration and Predictive Modeling: Learning the Metric on the Space of Diffeomorphisms
We present a method for metric optimization in the Large Deformation Diffeomorphic Metric Mapping (LDDMM) framework, by treating the induced Riemannian metric on the space of diffeomorphisms as a kernel in a machine learning context.
Computational Optimal Transport: Complexity by Accelerated Gradient Descent Is Better Than by Sinkhorn's Algorithm
We analyze two algorithms for approximating the general optimal transport (OT) distance between two discrete distributions of size $n$, up to accuracy $\varepsilon$.
Data Structures and Algorithms Optimization and Control
