It is a challenging and important task to retrieve images from a large and highly varied image data set based on their visual contents. Problems like how to fill the semantic gap b...
This paper proposes after-action review (AAR) with Human-Virtual human (H-VH) experiences. H-VH experiences are seeing increased use in training for real-world, H-H experiences. T...
Run No. Run ID Run Description infMAP (%) training on TV08 data 1 IUPR-TV-M SIFT visual words with maximum entropy 6.1 2 IUPR-TV-MF SIFT with maximum entropy, fused with color+tex...
Adrian Ulges, Christian Schulze, Markus Koch, Thom...
Successful knowledge management results in a competitive advantage in today’s information- and knowledge-rich industries. The elaboration and integration of emerging web-based t...
Christian Hirsch, John G. Hosking, John C. Grundy,...
Abstract—In classical image classification approaches, lowlevel features have been used. But the high dimensionality of feature spaces poses a challenge in terms of feature selec...
Rajeev Agrawal, Changhua Wu, William I. Grosky, Fa...