— Recursive Neural Networks (RNNs) and Graph Neural Networks (GNNs) are two connectionist models that can directly process graphs. RNNs and GNNs exploit a similar processing fram...
Vincenzo Di Massa, Gabriele Monfardini, Lorenzo Sa...
— Support Vector Machine has been well received in machine learning community with its theoretical as well as practical value. However, since its training time complexity is cubi...
— Maximal full rectangles in tabular data are useful in several areas of data engineering. This paper presents a survey of results in which we replace “full rectangles” by ...
For several reasons a database may not satisfy certain integrity constraints (ICs). However, most likely most of the information in it is still consistent with the ICs; and could ...
Leopoldo E. Bertossi, Loreto Bravo, Enrico Francon...
Adaptive background modeling/subtraction techniques are popular, in particular, because they are able to cope with background variations that are due to lighting variations. Unfor...
Leonid Taycher, John W. Fisher III, Trevor Darrell