We address the problem of labeling individual datapoints given some knowledge about (small) subsets or groups of them. The knowledge we have for a group is the likelihood value fo...
Background: Population structure is an important cause leading to inconsistent results in population-based association studies (PBAS) of human diseases. Various statistical method...
Mesh simplification algorithms play an important role in computer graphics. In particular, view-dependent simplification methods are utilized widely to reduce the geometric comp...
In this paper, we study the problem of measuring structural similarities of large number of source schemas against a single domain schema, which is useful for enhancing the qualit...
We present a new unsupervised method to learn unified probabilistic object models (POMs) which can be applied to classification, segmentation, and recognition. We formulate this a...
Yuanhao Chen, Long Zhu, Alan L. Yuille, HongJiang ...