List

Bachelor thesis:Relational Machine Learning in Classification of Cadastral Map Objects ( PDF )
Author:Trnka Tomáš
Supervisor:Radomír Černoch, MSc.
Keywords:
Abstract:This thesis describes a classifier of objects on a real world cadastre map within the relational machine learning framework. The first part of the work aims to introduce and compare relational probabilistic reasoners that allows us to create a model over the data that would be interpretable and corresponding to the human description of the objects on the map. For the implementation part it is necessary to execute some basics image processing to obtain some probabilistic facts and allow us to create a model of the data. There are several state of the art classifier allowing to classify object recognized by computer vision. We tried to create one that takes into account reasoning the relations between the object than rather handling them as independent.
Submited:May 2013
More info: