The identification of clusters, well-connected components in a graph, is useful in many applications from biological function prediction to social community detection. However, ...
Spectral methods for embedding graphs and immersing data manifolds in low-dimensional speaces are notoriously unstable due to insufficient and/or numberically ill-conditioned con...
Our goal is to segment a video sequence into moving objects and the world scene. In recent work, spectral embedding of point trajectories based on 2D motion cues accumulated from ...
In recent years, large amount of data modeled by graphs, namely graph data, have been collected in various domains. Efficiently processing queries on graph databases has attracted...
—TURBO principle has been exploited gainfully to implement many receiver functions. RF front-end impairments are a serious issue in high spectral efficient applications. IQ imba...