Subspace learning techniques are widespread in pattern recognition research. They include Principal Component Analysis (PCA), Locality Preserving Projection (LPP), etc. These tech...
Assigning functions to novel proteins is one of the most important problems in the post-genomic era. Several approaches have been applied to this problem, including analyzing gene...
Minghua Deng, Kui Zhang, Shipra Mehta, Ting Chen, ...
Although Web search engines have become information gateways to the Internet, for queries containing technical terms, search results often contain pages that are difficult to be ...
Geospatial information integration is not a trivial task. An integrated view must be able to describe various heterogeneous data sources and its interrelation to obtain shared con...
Miguel Torres, Serguei Levachkine, Rolando Quinter...
In the present study, an efficient strategy for retrieving texture images from large texture databases is introduced and studied within a distributional-statistical framework. Our...
Vasileios K. Pothos, Christos Theoharatos, George ...