Many approaches to active learning involve periodically training one classifier and choosing data points with the lowest confidence. An alternative approach is to periodically cho...
—A simple yet effective unsupervised classification rule to discriminate between normal and abnormal data is based on accepting test objects whose nearest neighbors’ distances ...
Abstract. Affine registration has a long and venerable history in computer vision literature, and extensive work have been done for affine registrations in IR2 and IR3 . In this pa...
Yu-Tseh Chi, S. M. Nejhum Shahed, Jeffrey Ho, Ming...
Object detection in cluttered, natural scenes has a high
complexity since many local observations compete for object
hypotheses. Voting methods provide an efficient solution
to ...
We consider the problem of estimating the shape and radiance of an object from a calibrated set of views under the assumption that the reflectance of the object is nonLambertian. ...