We show how features can easily be added to standard generative models for unsupervised learning, without requiring complex new training methods. In particular, each component mul...
Taylor Berg-Kirkpatrick, Alexandre Bouchard-C&ocir...
Modeling of software architectures is a fundamental part of software development processes. Reuse of software components and early analysis of software topologies allow the reduct...
Arne Haber, Thomas Kutz, Holger Rendel, Bernhard R...
In this paper we introduce a novel wide-profile graphical tool-building platform GrTP which is based on the principle of separating semantic domain model processing and user inter...
Janis Barzdins, Andris Zarins, Karlis Cerans, Audr...
This paper presents a novel Gaussianized vector representation for scene images by an unsupervised approach. First, each image is encoded as an ensemble of orderless bag of featur...
Hao Tang, Mark Hasegawa-Johnson, Thomas S. Huang, ...
Experimental time courses often reveal a nonlinear behaviour. Analysing these nonlinearities is even more challenging when the observed phenomenon is cyclic or oscillatory. This me...