Nature

What is the expectation maximization algorithm?

Probabilistic models, such as hidden Markov models or Bayesian networks, are commonly used to model biological data. Much of their popularity can be attributed to the existence of efficient and robust ...
IEEE

Face identification and verification using PCA and LDA

Abstract: Algorithms based on PCA (Principal Components Analysis) and LDA (Linear Discriminant Analysis) are among the most popular appearance-based approaches in face recognition. PCA is recognized ...
IEEE

Face recognition using LDA mixture model

Abstract: LDA (Linear Discriminant Analysis) provides the projection that discriminates the data well, and shows a very good performance for face recognition. However, since LDA provides only one ...
GitHub

Breast Cancer Classification using Linear Discriminant Analysis (LDA)

The primary goal is to develop and evaluate a machine learning model capable of accurately classifying breast masses as Benign (0) or Malignant (1) using key cellular and nuclear features from the ...
GitHub

Statistical Structure of Charge Disorder in Si/SiGe Quantum Dots

Properties of quantum dot based spin qubits have significant inter-device variability due to unavoidable presence of various types of disorder in semiconductor nanostructures. A significant source of ...