Fuzzy indexing for bag of features scene categorization

Using the representation output by the feature extractors learned with MIT+SUN, we train and evaluate classifiers for scene categorization on images from UIUC-Sports and 15-Scenes

Second, we generalize the enhanced fuzzy c-means algorithm [4] to color images (in fact any N -d image) by using a quantization of the color space.. Thus, we keep the ability of

Rangel et al. in the author profiling task at PAN 2013 contest [10] describe the identification of age and gender using multilingual dataset, consisting of English and

They were also used to learn the graph structure of the ap- proximate descriptor assignment introduced in Section 5.2 (for the 200K vocabulary only). Flickr1M are distracting images

Scene Segmentation and Image Feature Extraction for Video Indexing and Retrieval,. Patrick Bouthemy, Christophe Garcia, Rémi Ronfard, Georges Tziritas, Emmanuel Veneau,

The purpose of this study is to provide information that will aid Wood Buffalo National Park of Canada managers and Aboriginal governments in Fort Chipewyan and the Fort Smith area

A system that is used to find frequent pat- terns in graphs is FSG (Frequent Subgraph Discovery) that "finds patterns cor- responding to connected undirected subgraphs in

1: (a) Illustration of a CF-tree output by the BIRCH algorithm; (b) Rep- resentation of the proposed structure: for each node, its entries are organised in a proximity graph;