The continuous changes in customer requirements as well as the ever-increasing market-driven demand of innovation makes automotive software projects success strongly dependent on t...
Fabrizio Fabbrini, Mario Fusani, Giuseppe Lami, Ed...
Principal component analyses (PCA) has been widely used in reduction of the dimensionality of datasets, classification, feature extraction, etc. It has been combined with many oth...
This paper presents a general, trainable system for object detection in unconstrained, cluttered scenes. The system derives much of its power from a representation that describes a...
Abstract. The present article describes the system used for the our first participation in the imageCLEF 2009 Photo Annotation task. For the image classification we used four compo...
Background: The clustered heat map is the most popular means of visualizing genomic data. It compactly displays a large amount of data in an intuitive format that facilitates the ...