In this article, we present the algorithms and results of our participation in the medical image annotation and retrieval tasks of ImageCLEFmed 2006. We exploit both global featur...
Jing Liu, Yang Hu, Mingjing Li, Songde Ma, Wei-Yin...
The University of Maryland participated in the English and Czech tasks. For English, one monolingual run using only fields based on fully automatic transcription (the required con...
This paper presents the results of our initial experiments in the monolingual English, Spanish and Portuguese tasks and the Bilingual Spanish English, Spanish Portuguese, Englis...
This paper summarizes the work done at the State University of New York at Buffalo (UB) in the GeoCLEF 2006 track. The approach presented uses pure IR techniques (indexing of sing...
Miguel E. Ruiz, June M. Abbas, David Mark, Stuart ...
With the popularity of efficient multi-objective evolutionary optimization (EMO) techniques and the need for such problem-solving activities in practice, EMO methodologies and EMO ...