Models of spatial variation in images are central to a large number of low-level computer vision problems including segmentation, registration, and 3D structure detection. Often, i...
Image based relighting techniques are a popular choice for generating photo-realistic images of objects under any lighting condition. A typical process for creating such a model i...
Background: In order to improve gene prediction, extrinsic evidence on the gene structure can be collected from various sources of information such as genome-genome comparisons an...
Fractional anisotropy (FA), a widely used measure of fiber integrity based on diffusion tensor imaging (DTI), is theoretically confounded by several other quantities including the...
J. J. GadElkarim, Liang Zhan, S. L. Yang, A. F. Zh...
: This paper addresses the inference of probabilistic classification models using weakly supervised learning. The main contribution of this work is the development of learning meth...