Classification of real-world data poses a number of challenging problems. Mismatch between classifier models and true data distributions on one hand and the use of approximate inf...
Abstract. Embedded multimedia systems often run multiple time-constrained applications simultaneously. These systems use multiprocessor systems-on-chip of which it must be guarante...
Sander Stuijk, Twan Basten, Marc Geilen, Henk Corp...
Deep Belief Networks (DBN's) are generative models that contain many layers of hidden variables. Efficient greedy algorithms for learning and approximate inference have allow...
Feature selection is the task of choosing a small set out of a given set of features that capture the relevant properties of the data. In the context of supervised classification ...
Processor architects have a challenging task of evaluating a large design space consisting of several interacting parameters and optimizations. In order to assist architects in ma...
P. J. Joseph, Kapil Vaswani, Matthew J. Thazhuthav...