We present a method for detecting and parsing buildings from unorganized 3D point clouds into a compact, hierarchical representation that is useful for high-level tasks. The input...
Contextual text mining is concerned with extracting topical themes from a text collection with context information (e.g., time and location) and comparing/analyzing the variations...
—Mining temporal network models from discrete event streams is an important problem with applications in computational neuroscience, physical plant diagnostics, and human-compute...
Earthquake phenomena constitute a rich source of information over the years. Typically, the frequency of earthquakes worldwide is one every second. Collecting and querying seismic ...
Exploiting the complex structure of relational data enables to build better models by taking into account the additional information provided by the links between objects. We exten...