maximum likelihood estimator
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New research details fundamental limits of coherent imaging under atmospheric turbulence
This paper explores the theoretical limits of coherent imaging when dealing with atmospheric turbulence. Researchers analyzed a maximum likelihood estimator to establish an upper bound on the minimax risk, considering f…
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New VPOT Framework Enhances Finite Mixture Model Estimation
Researchers have developed a new framework called Voronoi-based partial optimal transport (VPOT) to better understand the convergence rates of parameter estimation in finite mixture models. This method refines existing …
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New theory and algorithms advance coherent imaging techniques
Researchers have developed a new theoretical framework and algorithms for multilook coherent imaging, a technique used in applications like digital holography and synthetic aperture radar. The paper provides the first t…
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New research explores MoE model robustness and expert selection
Two new research papers explore the intricacies of Mixture of Experts (MoE) models. The first paper demonstrates that MoE architectures inherently filter feature noise, leading to improved robustness and efficiency comp…