Generative model learning is one of the key problems in machine learning and computer vision. Currently the use of generative models is limited due to the difficulty in effective...
Abstract. We consider the tasks of testing and spot-checking for data streams. These testers and spotcheckers are potentially useful in real-time or near real-time applications tha...
Joan Feigenbaum, Sampath Kannan, Martin Strauss, M...
Background: Mass spectrometry has become a standard method by which the proteomic profile of cell or tissue samples is characterized. To fully take advantage of tandem mass spectr...
Recently many Automatic Face Recognition (AFR) systems were developed for applications with unspecific persons, which is different from conventional pattern recognition problems wh...
We introduce a mixture of probabilistic canonical correlation analyzers model for analyzing local correlations, or more generally mutual statistical dependencies, in cooccurring d...