We present a new data set encoding localized semantics for 1014 images and a methodology for using this kind of data for recognition evaluation. This methodology establishes protoc...
Significant changes in the instance distribution or associated cost function of a learning problem require one to reoptimize a previously-learned classifier to work under new cond...
Chris Bourke, Kun Deng, Stephen D. Scott, Robert E...
Background: The multitude of motif detection algorithms developed to date have largely focused on the detection of patterns in primary sequence. Since sequence-dependent DNA struc...
Academic staff development in the pedagogical applications of new technologies is fundamental to the transformation of teaching and learning in tertiary education settings. We pre...
Providing good education is one of the major challenges for humanity. In many developing regions in the world improving educational standards is seen as a central building block f...