Substructure similarity search is to retrieve graphs that approximately contain a given query graph. It has many applications, e.g., detecting similar functions among chemical com...
We present a novel indexing schema that provides eļ¬cient nearest-neighbor queries in multimedia databases consisting of objects described by multiple feature vectors. The beneļ¬...
Semantic similarity between words or phrases is frequently used to find matching correlations between search queries and documents when straightforward matching of terms fails. Th...
There is very limited research published in the literature that applies content-based image retrieval (CBIR) techniques to retrieval of digitized spine X-ray images using a combin...
Yuchou Chang, Sameer Antani, Dah-Jye Lee, Kent Gle...
Margin-maximizing techniques such as boosting have been generating excitement in machine learning circles for several years now. Although these techniques oļ¬er signiļ¬cant impro...