@conference {115,
	title = {Sistema SCADA para monitoreo y control de una central hidroel{\'e}ctrica},
	booktitle = {CNEISI},
	year = {2011},
	month = {09/2011},
	address = {C{\'o}rdoba, Argentina},
	author = {Abraham, L and Botta, A and Fratte, D and Oca{\~n}a, P}
}
@article {76,
	title = {Frontiers in Computer Vision: NSF White Paper},
	year = {2010},
	institution = {Frontiers in Computer Vision},
	address = {Cambridge, EEUU},
	abstract = {<div data-angle="0" data-canvas-width="303.4524173488616" data-font-name="Times" dir="ltr">Computer vision started with the goal of building machines that can see like humans and perform perception for robots, but it has become much broader than that. Applications such as image database search in the world wide web, computational photography, biological imaging, vision for graphics, GIS, biometrics, vision for nanotechnology, were unanticipated and other applications keep arising as computer vision technology develops. Areas such as document analysis and medical image analysis have developed rapidly and have their own conferences. As our computers achieve even a crude understanding of video imagery, computer vision will profoundly change our lives as visual sensors becomes increasingly ubiquitous and enable us to transcend current human limitations. Rapid developments in supportive technologies -- such as digital cameras and computers -- ensure that computer vision systems will become increasingly more capable and affordable. Moreover, the field of robotics itself has enormous potential to revolutionize manufacturing, to provide service by assistive robots, to perform medical surgery -- applications which all require perceptual in put from computer vision systems. In addition, there are many applications to defense, homeland security, and the intelligence community.</div>
},
	keywords = {Challenges, computer vision, Frontiers, Historical Perspective, Impact},
	url = {http://www.frontiersincomputervision.com/WhitePaperInvite.pdf},
	author = {Alan Yuille and Aude Oliva}
}
