Learn More
The domain adaptation problem in machine learning occurs when the test data generating distribution differs from the one that generates the training data. It is clear that the success of learning under such circumstances depends on similarities between the two data distributions. We study assumptions about the relationship between the two distributions that(More)
Declaration I hereby declare that I am the sole author of this thesis. This is a true copy of the thesis, including any required final revisions, as accepted by my examiners. I understand that my thesis may be made electronically available to the public. ii Abstract The emergence of a new paradigm in machine learning known as semi-supervised learning (SSL)(More)
A three month, open-label, single center study was conducted to determine whether a uniquely derived serum containing barley bioengineered, human-like epidermal growth factor protein could improve visible signs of photodamage and aging in facial skin. Twenty-nine females, aged 39 to 75 years, with mild to severe, fine and course rhytids, photodamage, and(More)
Theoretical and experimental analyses are presented of the effects of phase errors in the components of an optical correlator. A position dependent treatment of the wavefront phase error of the optical system is needed to determine how these errors propagate through the system and their effect on the output correlation. The empirically determined expression(More)
The use of simple off-the-shelf lenses as Fourier transform elements in an optical computer is considered. Several schemes for measuring those lens parameters that determine the performance of such simple lenses as Fourier transform elements are provided with emphasis on lens phase errors. It is assumed that no lens design data are available for the lens(More)
  • 1