Abstract. This paper focuses on the utilization of the history of navigation within recommender systems. It aims at designing a collaborative recommender based on Markov models rel...
Our recent work on uniprocessor and single-node multiprocessor (SMP) active memory systems uses address remapping techniques in conjunction with extended cache coherence protocols...
Active learning is a framework that has attracted a lot of research interest in the content-based image retrieval (CBIR) in recent years. To be effective, an active learning syste...
Many large-scale utility computing infrastructures comprise heterogeneous hardware and software resources. This raises the need for scalable resource selection services, which ide...
Paolo Costa, Jeff Napper, Guillaume Pierre, Maarte...
Semi-supervised clustering uses a small amount of supervised data to aid unsupervised learning. One typical approach specifies a limited number of must-link and cannotlink constra...