347 research outputs found
Gender-From-Iris or Gender-From-Mascara?
Predicting a person's gender based on the iris texture has been explored by
several researchers. This paper considers several dimensions of experimental
work on this problem, including person-disjoint train and test, and the effect
of cosmetics on eyelash occlusion and imperfect segmentation. We also consider
the use of multi-layer perceptron and convolutional neural networks as
classifiers, comparing the use of data-driven and hand-crafted features. Our
results suggest that the gender-from-iris problem is more difficult than has so
far been appreciated. Estimating accuracy using a mean of N person-disjoint
train and test partitions, and considering the effect of makeup - a combination
of experimental conditions not present in any previous work - we find a much
weaker ability to predict gender-from-iris texture than has been suggested in
previous work
Resources for Teaching Ethics and Computing
The National Science Foundation\u27s Undergraduate Faculty Enhancement program sponsored two workshops devoted to developing resource materials that could be used in teaching ethics and computing. Participants in the workshops were faculty who teach in undergraduate Information Systems, Computer Science, or Computer Engineering programs. The teaching resources developed through the workshops are available to faculty through a web site http://marathon.csee.usf.edu/~kwb/nsf-ufe/. The web site contains over 50 model class exercises, reviews of videos that might be used in teaching, and additional resources
Pornography on the Dean\u27s PC: An Ethics and Computing Case Study
A real case study in which a technician discovers pornography on an administrator\u27s personal computer is developed for use in teaching ethics and computing. The case highlights issues of employee rights and responsibilities in using employer-owned computing resources, competing responsibilities in professional codes of ethics, claims about rights to privacy and free speech, and ethical decision-making. Analysis of the case emphasizes the need for strong critical thinking skills
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