Many approaches to learning classifiers for structured objects (e.g., shapes) use generative models in a Bayesian framework. However, state-of-the-art classifiers for vectorial d...
We consider the problem of embedding arbitrary objects (e.g., images, audio, documents) into Euclidean space subject to a partial order over pairwise distances. Partial order cons...
Graph based semi-supervised learning methods (SSL) implicitly assume that the intrinsic geometry of the data points can be fully specified by an Euclidean distance based local ne...
1 There are increasing deployments of networked embedded systems and rising threats of malware intrusions on such systems. To mitigate this threat, it is desirable to enable common...
This paper presents VITRAL, a multicolor text mode window manager designed for embedded real-time systems. Therefore, timeliness requirements and resource constraints are the main...