Hierarchical Incremental Class Learning (HICL) is a new task decomposition method that addresses the pattern classification problem. HICL is proven to be a good classifier but clos...
We compare the performance of three usual allocations (max-min fairness, proportional fairness and balanced fairness) in a communication network whose resources are shared by a ra...
In this work semantic features are used to improve the results of the camera selection. These semantic features are group action, person action and person speaking. For this purpo...
We describe a novel inference algorithm for sparse Bayesian PCA with a zero-norm prior on the model parameters. Bayesian inference is very challenging in probabilistic models of t...
Reduced rank regression (RRR) has found application in various fields of signal processing. In this paper we propose a novel extension of the RRR model which we call sparse varia...