We investigate the problem of learning the structure of an articulated object, i.e. its kinematic chain, from feature trajectories under affine projections. We demonstrate this po...
We propose a novel classification approach for automatically detecting pulmonary embolism (PE) from computedtomography-angiography images. Unlike most existing approaches that req...
Representations for interactive photorealistic visualization of scenes range from compact 2D panoramas to dataintensive 4D light fields. In this paper, we propose a technique for ...
Ke Colin Zheng, Sing Bing Kang, Michael F. Cohen, ...
A good distance metric is crucial for unsupervised learning from high-dimensional data. To learn a metric without any constraint or class label information, most unsupervised metr...
This paper presents a robust warping method for minutiae based fingerprint matching approaches. In this method, a deformable fingerprint surface is described using a triangular me...