Graph partitioning algorithms play a central role in data analysis and machine learning. Most useful graph partitioning criteria correspond to optimizing a ratio between the cut a...
ct We introduce a new family of spectral partitioning methods. Edge separators of a graph are produced by iteratively reweighting the edges until the graph disconnects into the pre...
The problem of choosing fast implementations for a class of recursive algorithms such as the fast Fourier transforms can be formulated as an optimization problem over the language...
— A novel, practical and low-complexity multi-cell OFDMA downlink channel assignment method using a graphbased approach is proposed in this work. The inter-cell interference (ICI...
Yu-Jung Chang, Zhifeng Tao, Jinyun Zhang, C. C. Ja...
Abstract—In many sensor networks applications, sensors collect correlated measurements of a physical field, e.g., temperature field in a building or in a data center. However, ...