We present a new unsupervised method to learn unified probabilistic object models (POMs) which can be applied to classification, segmentation, and recognition. We formulate this a...
Yuanhao Chen, Long Zhu, Alan L. Yuille, HongJiang ...
—With the advancement of CMOS manufacturing process to nano-scale, future shipped microprocessors will be increasingly vulnerable to intermittent faults. Quantitatively character...
We present a method to detect and visualize evolution patterns in C++ source code. Our method consists of three steps. First, we extract an annotated syntax tree (AST) from each v...
We present a method for mapping a given Bayesian network to a Boltzmann machine architecture, in the sense that the the updating process of the resulting Boltzmann machine model pr...
—Service-Oriented Computing (SOC) is an emerging paradigm for developing software systems that employ services. Presently there is already much research effort in the areas of se...
Mikhail Perepletchikov, Caspar Ryan, Keith Frampto...