With the development of variable-data-driven digital presses where each document printed is potentially unique there is a need for pre-press optimization to identify material that...
Alexander J. Macdonald, David F. Brailsford, John ...
Large-scale cluster-based Internet services often host partitioned datasets to provide incremental scalability. The aggregation of results produced from multiple partitions is a f...
Shape clustering can significantly facilitate the automatic labeling of objects present in image collections. For example, it could outline the existing groups of pathological ce...
Background: During the past decade, many software packages have been developed for analysis and visualization of various types of microarrays. We have developed and maintained the...
We propose a method to learn heterogeneous models of object classes for visual recognition. The training images contain a preponderance of clutter and learning is unsupervised. Ou...