Restricted Boltzmann Machines (RBMs) — the building block for newly popular Deep Belief Networks (DBNs) — are a promising new tool for machine learning practitioners. However,...
Sang Kyun Kim, Lawrence C. McAfee, Peter L. McMaho...
Harnessing the potential of today’s ever growing and dynamic geospatial data requires the development of novel visual analysis interfaces, tools and technologies. In this paper,...
Luciano Nocera, Arjun Rihan, Songhua Xing, Ali Kho...
Abstract. In transactional memory, aborted transactions reduce performance, and waste computing resources. Ideally, concurrent execution of transactions should be optimally ordered...
Abstract. Experimenting and building integrated, operational systems in computational vision poses both theoretical and practical challenges, involving methodologies from control t...
To overcome the shortcomings of existing IP networks and to facilitate the overall quality-of-service (QoS) provisioning in the near-future networks, new technologies such as Multi...