Subspace learning techniques are widespread in pattern recognition research. They include Principal Component Analysis (PCA), Locality Preserving Projection (LPP), etc. These tech...
: Until now the growing volume of heterogeneous and distributed information on the WWW makes increasingly difficult for the existing tools to retrieve relevant information. To impr...
Finding biological entities (such as genes or proteins) that satisfy certain conditions from texts is an important and challenging task in biomedical information retrieval and tex...
Document ranking is well known to be a crucial process in information retrieval (IR). It presents retrieved documents in an order of their estimated degrees of relevance to query. ...
We are working on a knowledge base to store 3D Andean textile patterns together with rich cultural and historic context information. This will allow ontological studies in museum c...