Inverting Random Functions II: Explicit Bounds for Discrete Maximum Likelihood Estimation, with Applications

Maximum-Likelihood Estimation for the Tw

Maximum-Likelihood Estimation for the Two-Dimensional Discrete Boolean Random Set and Function Models Using Multidimensional Linear Samples

✍ John C. Handley; Edward R. Dougherty 📂 Article 📅 1997 🏛 Elsevier Science 🌐 English ⚖ 723 KB

the translated shapes. Indeed, this allows one to model overlapping objects. The random shape process is called The Boolean model is a random set process in which random shapes are positioned according to the outcomes of an indepenthe grain process and the point process is called the germ dent poin