53 research outputs found
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Parametric Based Controller for Rapid Prototyping Applications
A methodology aiming at reproducing in Rapid Prototyping applications, exact parametric
curves from CAD data is presented. The approach consists of converting the space-based parametric
curves from the CAD system into time-base, such that the equations of the curve in terms of time are
then fed to a controller directly. Optimization is used to solve the problem, which has both Rapid
Prototyping process and scanning constraints. With information such as the equation of the curve, its
first and second derivatives with respect to time, a real-time trajectory controller can be designed.
The trajectory displays an increase in accuracy over traditional approaches using STL files, which is
ofthe order of the chordal tolerance used to generate tessellations. The system model involves
electrical and mechanical dynamics of the galvanometers and sensors. The controller, which acts on
two mirrors, deflecting the laser beam of a stereolithography machine in the x and y directions
respectively, should be easily substituted for current systems. Application of the methodology to
freeform curves shows acceptable tracking and can be improved by judicious selection ofthe equation
representing the spatial parameter as a function of time.Mechanical Engineerin
UPAL: Unbiased Pool Based Active Learning
In this paper we address the problem of pool based active learning, and
provide an algorithm, called UPAL, that works by minimizing the unbiased
estimator of the risk of a hypothesis in a given hypothesis space. For the
space of linear classifiers and the squared loss we show that UPAL is
equivalent to an exponentially weighted average forecaster. Exploiting some
recent results regarding the spectra of random matrices allows us to establish
consistency of UPAL when the true hypothesis is a linear hypothesis. Empirical
comparison with an active learner implementation in Vowpal Wabbit, and a
previously proposed pool based active learner implementation show good
empirical performance and better scalability.Comment: 20 pages, 4 figures, 2 tables, a few minor typos were correcte
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