We consider the problem of optimal allocation of computing budget to maximize the probability of correct selection in the ordinal optimization setting. This problem has been studi...
We address the problem of learning the mapping between words and their possible pronunciations in terms of sub-word units. Most previous approaches have involved generative modeli...
Abstract. We describe a new method for unsupervised structure learning of a hierarchical compositional model (HCM) for deformable objects. The learning is unsupervised in the sense...
Long Zhu, Chenxi Lin, Haoda Huang, Yuanhao Chen, A...
Fast convergence to topology changes is a key requirement in modern routing infrastructure while reducing the protocol CPU overhead continues to be as important as before. In this...
Mukul Goyal, Weigao Xie, Mohd Soperi, Seyed H. Hos...
Sequence comparison is considered as a cornerstone application in bioinformatics, which forms the basis of many other applications. In particular, pairwise sequence alignment is a...
Ankit Agrawal, Sanchit Misra, Daniel Honbo, Alok N...