Browsing Theses by Subject "Support Vector Machines"
Now showing items 1-4 of 4
-
Automatic Driver Fatigue Monitoring Using Hidden Markov Models and Bayesian Networks
(University of Waterloo, 2013-12-12)The automotive industry is growing bigger each year. The central concern for any automotive company is driver and passenger safety. Many automotive companies have developed driver assistance systems, to help the driver and ... -
Convex Large Margin Training - Unsupervised, Semi-supervised, and Robust Support Vector Machines
(University of Waterloo, 2007-05-22)Support vector machines (SVMs) have been a dominant machine learning technique for more than a decade. The intuitive principle behind SVM training is to find the maximum margin separating hyperplane for a given set of ... -
Integrating Structure and Meaning: Using Holographic Reduced Representations to Improve Automatic Text Classification
(University of Waterloo, 2008-07-10)Current representation schemes for automatic text classification treat documents as syntactically unstructured collections of words (Bag-of-Words) or `concepts' (Bag-of-Concepts). Past attempts to encode syntactic structure ... -
Semantic Assisted, Multiresolution Image Retrieval in 3D Brain MR Volumes
(University of Waterloo, 2010-11-03)Content Based Image Retrieval (CBIR) is an important research area in the field of multimedia information retrieval. The application of CBIR in the medical domain has been attempted before, however the use of CBIR in medical ...