@conference {12441,
	title = {Synthesis-based recognition of low resolution faces},
	booktitle = {2011 International Joint Conference on Biometrics (IJCB)},
	year = {2011},
	month = {2011/10/11/13},
	pages = {1 - 6},
	publisher = {IEEE},
	organization = {IEEE},
	abstract = {Recognition of low resolution face images is a challenging problem in many practical face recognition systems. Methods have been proposed in the face recognition literature for the problem when the probe is of low resolution, and a high resolution gallery is available for recognition. These methods modify the probe image such that the resultant image provides better discrimination. We formulate the problem differently by leveraging the information available in the high resolution gallery image and propose a generative approach for classifying the probe image. An important feature of our algorithm is that it can handle resolution changes along with illumination variations. The effective- ness of the proposed method is demonstrated using standard datasets and a challenging outdoor face dataset. It is shown that our method is efficient and can perform significantly better than many competitive low resolution face recognition algorithms.},
	keywords = {Dictionaries, Face, face images, face recognition, face recognition literature, face recognition systems, illumination variations, image resolution, low resolution faces, Organizations, PROBES, support vector machines, synthesis based recognition},
	isbn = {978-1-4577-1358-3},
	doi = {10.1109/IJCB.2011.6117545},
	author = {Shekhar, S. and Patel, Vishal M. and Chellapa, Rama}
}
@article {18432,
	title = {Software Process Improvement in the NASA Software Engineering Laboratory.},
	year = {1994},
	month = {1994/12//},
	institution = {CARNEGIE-MELLON UNIV PITTSBURGH PA SOFTWARE ENGINEERING INSTITUTE},
	abstract = {The Software Engineering Laboratory (SEL) was established in 1976 for the purpose of studying and measuring software processes with the intent of identifying improvements that could be applied to the production of ground support software within the Flight Dynamics Division (FDD) at the National Aeronautics and Space Administration (NASA)/Goddard Space Flight Center (GSFC). The SEL has three member organizations: NASA/GSFC, the University of Maryland, and Computer Sciences Corporation (CSC). The concept of process improvement within the SEL focuses on the continual understanding of both process and product as well as goal-driven experimentation and analysis of process change within a production environment.},
	keywords = {*AWARDS, *SOFTWARE ENGINEERING, *SYSTEMS ANALYSIS, *WORK MEASUREMENT, ADMINISTRATION AND MANAGEMENT, COMPUTER PROGRAMMING AND SOFTWARE, COMPUTER PROGRAMS, COMPUTERS, data acquisition, ENVIRONMENTS, EXPERIMENTAL DATA, GROUND SUPPORT., measurement, Organizations, PE63756E, Production, SOFTWARE PROCESS IMPROVEMENT, SPI(SOFTWARE PROCESS IMPROVEMENT), SPN-19950120014},
	url = {http://stinet.dtic.mil/oai/oai?\&verb=getRecord\&metadataPrefix=html\&identifier=ADA289912},
	author = {McGarry,Frank and Pajerski,Rose and Page,Gerald and Waligora,Sharon and Basili, Victor R.}
}
