Nonlinear dimensionality reduction methods often rely on the nearest-neighbors graph to extract low-dimensional embeddings that reliably capture the underlying structure of high-d...
Automated domain factoring, and planning methods that utilize them, have long been of interest to planning researchers. Recent work in this area yielded new theoretical insight an...
Gridworlds are popular testbeds for planning with incomplete information but not much is known about their properties. We study a fundamental planning problem, localization, to in...
Since treebanks have become available to researchers a wide variety of techniques has been used to make broad coverage parsing systems. This makes quantitative evaluation very imp...
Mood annotation of music is challenging as it concerns not only audio content but also extra-musical information. It is a representative research topic about how to traverse the w...
Jun Wang, Xavier Anguera, Xiaoou Chen, Deshun Yang