Understanding high-dimensional real world data usually requires learning the structure of the data space. The structure maycontain high-dimensional clusters that are related in co...
Abstract. In this paper, we propose a new approach for symbol recognition using structural signatures and a Galois Lattice as classifier. The structural signatures are based on top...
This paper describes a Neural Network (NN) approach for logical document structure extraction. In this NN architecture, called Transparent Neural Network (TNN), the document struct...
nodes and their interactions are abstract edges. This paper attempts to characterize the structural quality of complex software networks. We propose to use a novel statistical meas...
Jing Liu, Jinhu Lu, Keqing He, Bing Li, Chi Kong T...
Abstract— A novel structure with direct inversion of a multipleinput multiple-output (MIMO) system is proposed in this paper. Based on this structure, 2 adaptive algorithms, LMS-...