Selection of an optimal estimator typically relies on either supervised training samples (pairs of measurements and their associated true values), or a prior probability model for...
— In many applications involving the multiple criteria optimal decision making, users may often want to make a personal trade-off among all optimal solutions. As a key feature, t...
Xuemin Lin, Ying Zhang, Wenjie Zhang, Muhammad Aam...
We present a robust method for 3D reconstruction of closed surfaces from sparsely sampled parallel contours. A solution to this problem is especially important for medical segment...
Adaptive Programming (AP) allows for the separate definition of data structures and traversals with attached computations, performed during the traversal, that operate on these dat...
Therapon Skotiniotis, Jeffrey Palm, Karl J. Lieber...
We describe an object-oriented software integration frameccom, abstracted from our five years of experience in developing a complex, integrated code for rocket simulation. Roccom...
Xiangmin Jiao, Michael T. Campbell, Michael T. Hea...