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 ...
State space control system design is one of the core courses covered in engineering programs around the world. Applications of control engineering include things like autonomous vehicles, renewable ...
Abstract: Principal Component Analysis (PCA) is one of the most important unsupervised dimensionality reduction algorithms, which uses squared $\ell _{2}$ -norm to make it very sensitive to outliers.
Price of iron ore is affected by instabilities of microeconomic balance between supply and demand. Periods of equilibrium adjustment result in huge swings, growth or global recession. They also impact ...
MATLAB implementation of "Nearly Optimal Robust Subspace Tracking", ICML 2018. Longer version to appear in IEEE Journal of Selected Areas in Information Theory, 2020.
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