Abstract. This paper addresses an approach toward tomographic reconstruction from rotational angiography data as it is generated by Carms in cardiac imaging. Since the rotational a...
Distance functions are an important component in many learning applications. However, the correct function is context dependent, therefore it is advantageous to learn a distance f...
Computer assistance for breast conserving surgery requires a guidance method to assist a surgeon in locating tumor margin accurately. A wide array of guidance methods can be consid...
Michel-Alexandre Cardin, Jian-Xiong Wang, Donald B...
We propose an unbounded-depth, hierarchical, Bayesian nonparametric model for discrete sequence data. This model can be estimated from a single training sequence, yet shares stati...
In unit testing, a program is decomposed into units which are collections of functions. A part of unit can be tested by generating inputs for a single entry function. The entry fu...