Segmenting meshes into natural regions is useful for model understanding
and many practical applications. In this paper, we present
a novel, automatic algorithm for segmenting me...
Yu-Kun Lai, Qian-Yi Zhou, Shi-Min Hu, Ralph R. Mar...
The paper presents a method for uncertainty propagation in Bayesian networks in symbolic, as opposed to numeric, form. The algebraic structure of probabilities is characterized. Th...
—This paper describes a framework for animating and controlling articulated bodies in a fluid simulation. We illustrate this approach by simulating an autonomous fish in various ...
In this paper, the task of selecting the optimal subset of pronunciation variants from a set of automatically generated candidates is recast as a tree search problem. In this appr...
Update of acoustic and language models is vital to maintain performance of automatic speech recognition (ASR) systems. To alleviate efforts for updating models, we propose a "...
Yuya Akita, Masato Mimura, Graham Neubig, Tatsuya ...