Barry G. Becker

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We present some techniques for volume rendering unstructured data. Colors and opacities are interpolated between vertices using hardware assisted texture mapping. We also present an O(n2) method for sorting n arbitrarily shaped convex polyhedra prior to visualization. It generalizes the Newell, Newell and Sancha sort for polygons to 3-D volume elements.(More)
The simple Bayesian classi er (SBC), sometimes called Naive-Bayes, is built based on a conditional independence model of each attribute given the class. The model was previously shown to be surprisingly robust to obvious violations of this independence assumption, yielding accurate classi cation models even when there are clear conditional dependencies. We(More)
We present a scalable BIST (Built-In Self Test) architecture that provides a tunable trade-off between on-chip area demand and test execution time for delay fault testing. So, the architecture can meet test execution time requirements, area requirements, or any target in between. Experiments show the scalability of our approach, e.g., that considerably(More)
Flow volumes are the volumetric equivalent of stream lines. They provide more information about the vector field being visualized than do stream lines or ribbons. Presented is an efficient method for producing flow volumes, composed of transparently rendered tetrahedra, for use in an interactive system. The problems of rendering, subdivision, sorting,(More)
We present three resistive bridging fault models valid for different CMOS technologies. The models are partitioned into a general framework (which is shared by all three models) and a technology-specific part. The first model is based on Shockley equations and is valid for conventional but not deep submicron CMOS. The second model is obtained by fitting(More)
Simulation of complex 3-dimensional phenomena generate data sets which are hard to comprehend using conventional 2-dimensionally oriented visualization tools. One way to overcome this limitation is to employ various volume visualization techniques. While early volume visualization techniques worked well on simple scalar volumes they failed to exploit frame(More)
The simple Bayesian classi er (SBC), sometimes called Naive-Bayes, is built based on a conditional independence model of each attribute given the class. The model was previously shown to be surprisingly robust to obvious violations of this independence assumption, yielding accurate classi cation models even when there are clear conditional dependencies. The(More)