Information networks are widely used to characterize the relationships between data items such as text documents. Many important retrieval and mining tasks rely on ranking the dat...
Data imputation approaches for robust automatic speech recognition reconstruct noise corrupted spectral information by exploiting prior knowledge of the relationship between targe...
We present a method for the construction of patient-specific atlases of the brain. Traditional atlases of the brain aim to characterize the variability of a population of subjects...
This paper is concerned with the construction of regression and classification trees that are more adapted to data mining applications than conventional trees. To this end, we pro...
A priori wirelength estimation is concerned with predicting various wirelength characteristics before placement. In this work we propose a novel, accurate estimator of net lengths...