I present an expectation-maximization (EM) algorithm for principal component analysis (PCA). The algorithm allows a few eigenvectors and eigenvalues to be extracted from large col...
In computational metrology one needs to compute whether an object satis es speci cations of shape within an acceptable tolerance. To this end positions on the object are measured,...
Mark de Berg, Henk Meijer, Mark H. Overmars, Gordo...
In this paper, we introduce the new paradigm used in the most recent ARPA-sponsoredContinuousSpeech Recognition(CSR) evaluation and then discuss the important features of the test...
Francis Kubala, Jerome R. Bellegarda, Jordan Cohen...
Image invariants are those properties of the images of an object that remain unchanged with change in camera parameters, illumination etc. In this paper, we derive an image invari...
Inference of latent variables from complicated data is one important problem in data mining. The high dimensionality and high complexity of real world data often make accurate infe...