The hierarchical classification of Web content by the combination of textual and visual features
Shoubin Dong · 2005
This paper presents the hierarchical classification of Web content based on the combination of both textual and visual features. This combination is achieved by multiple classifier combination. A schema based on adaptive category weighting is proposed for achieving good combination, which has gained better results compared to the ordinary combination based on general voting schema.