We introduce a framework for actively learning visual categories from a mixture of weakly and strongly labeled image examples. We propose to allow the categorylearner to strategic...
Developing barley grains are to be visualised by a 4-D model, in which spatiotemporal experimental data can be integrated. The most crucial task lies in the automation of the exten...
Image processing and recognition technologies are becoming increasingly important. Automatic construction methods for image transformation algorithms proposed to date approximate a...
Yuta Nakano, Shinichi Shirakawa, Noriko Yata, Tomo...
This paper describes current work on a photo-id system for humpback whales. Individuals of this species can be uniquely identified by the light and dark pigmentation patches on th...
Elena Ranguelova, Mark J. Huiskes, Eric J. Pauwels
Multi-observer segmentation evaluation is useful in the imaging community. We have developed a web-based software application for automatic performance evaluation of multiple imag...
Yaoyao Zhu, Xiaolei Huang, Daniel P. Lopresti, L. ...