The most commonly used learning algorithm for restricted Boltzmann machines is contrastive divergence which starts a Markov chain at a data point and runs the chain for only a few...
Abstract— In this work, we study the inconsistency of EKFbased SLAM from the perspective of observability. We analytically prove that when the Jacobians of the state and measurem...
Guoquan Huang, Anastasios I. Mourikis, Stergios I....
Currently, the most adopted criterion to invoke garbage collection is heap space exhaustion. In other words, garbage collection is invoked when the heap space (either the entire s...
Planning out maintenance tasks to increase the quality of Web applications can be difficult for a manager. First, it is hard to evaluate the precise effect of a task on quality. S...
This paper describes an experience with a Software Process Improvement (SPI) approach particularly adapted to small structures with low software maturity level (e.g. small and med...