Wyniki wyszukiwania:

Master's Thesis from the year 2009 in the subject Computer Science - Applied, grade: Distinction, University of Essex, course: MSc Computer Science, language: English, abstract: This project explores the use of local features for motion tracking to estimate the direction of a moving object. Availability of a number of feature extraction and matching algorithms in literature make it difficult to select any one of them. Therefore, it was considered appropriate to assess the suitability of a technique for a particular application before actually putting it into use. The project begins with a...

Scientific Study from the year 2008 in the subject Computer Science - Applied, grade: 95, University of Essex (Department of Computer Science), course: Machine Learning, language: English, abstract: The paper presents a comparative study of the performance of Back Propagation and Instance Based Learning Algorithm for classification tasks. The study is carried out by a series of experiments with all possible combinations of parameter values for the algorithms under evaluation. The algorithm's classification accuracy is compared over range of datasets and measurements like Cross Validation,...