— This paper presents an mathematical model that establishes the relation between the relevant cutting process parameters and surface quality, cutting forces and rate removal, in...
We present an approach to the combination of an arbitrary number of image features to produce more sophisticated features for anatomical landmark detection. The combination was don...
Unsupervised sequence learning is important to many applications. A learner is presented with unlabeled sequential data, and must discover sequential patterns that characterize th...
A large number of learning algorithms, for example, spectral clustering, kernel Principal Components Analysis and many manifold methods are based on estimating eigenvalues and eig...
We study self-training with products of latent variable grammars in this paper. We show that increasing the quality of the automatically parsed data used for self-training gives h...