Performance Characterization of Boosting in Computer Vision

Download or read book Performance Characterization of Boosting in Computer Vision written by Weiliang Li and published by . This book was released on 2005 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: The analytical error modeling is based on random sampling, but it can be applied to stratified sampling. While training samples are collected under different experimental context, designers need an efficient method to evaluate the number of clustered samples versus the within-cluster and the overall classification performance. In the last part, we propose an effective approach for analyzing the classification errors in stratified sampling design.