The design of programsfor broadcastdisks which incorporatereal-time and fault-tolerance requirements is considered. A generalized model for real-time fault-tolerant broadcast disk...
We present here an approach for applying the technique of modeling data transformation manifolds for invariant learning with kernel methods. The approach is based on building a ke...
A new algorithm for training Restricted Boltzmann Machines is introduced. The algorithm, named Persistent Contrastive Divergence, is different from the standard Contrastive Diverg...
Vector quantization methods are confronted with a model selection problem, namely the number of prototypical feature representatives to model each class. In this paper we present a...
Alexander Denecke, Heiko Wersing, Jochen J. Steil,...
The Real-time Specification for Java extends the Java platform to support real-time processing and introduces a region-based memory model, called scoped memory, which side-steps ...