Improved Image Annotation and Labelling

@misc{citeulike:2797868, abstract = {The majority of machine learning systems for object recognition is limited by their requirement of single labelled images for training, which are difficult to create or obtain in quantity. It is therefore impractical to use methods or techniques which require such data to build object recognizers for more than a relatively small subset of object classes. Instead, far more abundant multilabel data provides a ready means to create object recognition systems which are able to deal with large ...}, author = {Through}, citeulike-article-id = {2797868}, keywords = {boosting, ensemble, multilabel}, posted-at = {2008-05-14 13:09:51}, priority = {0}, title = {Improved Image Annotation and Labelling}, url = {http://citeseer.ist.psu.edu/761228.html} }

TY - GEN ID - citeulike:2797868 L3 - citeulike-article-id:2797868 TI - Improved Image Annotation and Labelling N2 - The majority of machine learning systems for object recognition is limited by their requirement of single labelled images for training, which are difficult to create or obtain in quantity. It is therefore impractical to use methods or techniques which require such data to build object recognizers for more than a relatively small subset of object classes. Instead, far more abundant multilabel data provides a ready means to create object recognition systems which are able to deal with large ... KW - boosting KW - ensemble KW - multilabel AU - Through UR - http://citeseer.ist.psu.edu/761228.html ER -