We use unsupervised probabilistic machine learning ideas to try to explain the kinds of learning observed in real neurons, the goal being to connect abstract principles of self-or...
Abstract Early failure detection in motor pumps is an important issue in prediction maintenance. An efficient condition-monitoring scheme is capable of providing warning and predic...
Flavia Cristina Bernardini, Ana Cristina Bicharra ...
Abstract. Our goal is to extract consistent bits from the same fingerprint in a noisy environment. Such bits can then be used as a secret key in several cryptographic applications...
Manually labeled landmark sets are often required as in-
puts for landmark-based image registration. Identifying an
optimal subset of landmarks from a training dataset may be
us...
Anand A. Joshi, David W. Shattuck, Dimitrios Panta...
Vortex breakdowns and flow recirculation are essential phenomena in aeronautics where they appear as a limiting factor in the design of modern aircrafts. Because of the inherent i...
Charles D. Hansen, Christoph Garth, Eduard Deines,...