— To approximate complex data, we propose new type of low-dimensional “principal object”: principal cubic complex. This complex is a generalization of linear and nonlinear pr...
Alexander N. Gorban, Neil R. Sumner, Andrei Yu. Zi...
— Multi-agent systems (MAS) are a field of study of growing interest in a variety of domains such as robotics or distributed controls. The article focuses on decentralized reinf...
In high-level synthesis for FPGA designs, scheduling and chaining of operations for optimal performance remain challenging problems. In this paper, we present a balanced schedulin...
David Zaretsky, Gaurav Mittal, Robert P. Dick, Pri...
Abstract. With graph pattern matching the field of graph transformation (GT) includes an NP-complete subtask. But for real-life applications it is essential that graph pattern mat...
Boosting is a simple yet powerful modeling technique that is used in many machine learning and data mining related applications. In this paper, we propose a novel scale-space based...