Speaker
Fan Tian
Description
Tensor decomposition is widely used for analyzing multi-way data in various applications that often involve continuously generated data. Efficient methods to process and extract meaningful patterns dynamically are hence essential for these applications. In this talk, we consider the problem of computing the streaming tensor BM-decompositions (BMD). An incremental algorithm, OnlineBMD, is presented, which is the first work that addresses third-order tensor BMD in a dynamic setting.