Abstract. Many applications of machine learning involve sparse highdimensional data, where the number of input features is (much) larger than the number of data samples, d n. Predi...
Abstract—In this paper, an asymmetric Slepian-Wolf coding (SWC) scheme for binary finite memory source (FMS) is proposed. The a priori information about the source is extracted ...
Chao Chen, Xiangyang Ji, Qionghai Dai, Xiaodong Li...
Abstract— Quickest detection is applied in the spectrum sensing of cognitive radio systems when multiple secondary users collaborate with limited communication time slots. When t...
It is believed that graphical passwords are more memorable than traditional textual passwords, but usually seen as complex and time-consuming for users. Furthermore, most of the e...
Empirical modeling of the score distributions associated with retrieved documents is an essential task for many retrieval applications. In this work, we propose modeling the releva...