Kernel functions as similarity measures for sequential data have been extensively studied in previous research. This contribution addresses the efficient computation of distance fu...
Abstract. The needs of efficient and flexible information retrieval on multistructural data stored in database and network are significantly growing. Especially, its flexibility pl...
The paper presents a novel multi-view learning framework based on variational inference. We formulate the framework as a graph representation in form of graph factorization: the g...