Topological data analysis for imaging and machine learning.
Topological Data Analysis [1, 2, 3, 4, 5, 6] is a sound family of techniques that is gaining an increasing importance for the interactive analysis and visualization of data in imaging and machine learning applications. Given the increasing complexity and
Detection theory and industrial applications
Our team at the Borelli Center is regularly confronted with industrial problems whose ultimate goal is the detection of objects or events in images or image series. The topic of classification and deep learning is widely discussed in several MVA