Abstract: This work studies a new Expectation-Maximization (EM) algorithm for solving the 2D-3D registration problem, which consists of estimating the position and orientation of a camera using a 3D ...

Overview This repository provides a reusable Gaussian Mixture Model implementation trained with Expectation-Maximization using pure numpy. It supports full, diagonal, and spherical covariances, ...

Abstract: This article proposes an expectation maximization sample transfer identification (EM-STI) algorithm to address the parameter identification problem in dynamic systems with nonideal data.

qiskit-getting-started/ ├── 📂 src/ # Core quantum modules │ ├── 📂 basic_circuits/ # Fundamental quantum circuits │ ├── 📂 algorithms/ # Quantum algorithms implementation │ └── 📂 utils/ # Simulation ...

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