Principal component analysis (PCA) is a widely used statistical technique for unsupervised dimension reduction. K-means clustering is a commonly used data clustering for unsupervi...
A design flow for processor platforms with on-chip coarse-grain reconfigurable logic is presented. The reconfigurable logic is realized by a 2-Dimensional Array of Processing Elem...
Michalis D. Galanis, Grigoris Dimitroulakos, Const...
This paper presents a rendering method for translucent objects, in which view point and illumination can be modified at interactive rates. In a preprocessing step the impulse res...
Hendrik P. A. Lensch, Michael Goesele, Philippe Be...
A critical path in the development of natural language understanding NLU modules lies in the di culty of de ning a mapping from words to semantics: Usually it takes in the order o...
A Hilbert space embedding for probability measures has recently been proposed, with applications including dimensionality reduction, homogeneity testing, and independence testing....
Bharath K. Sriperumbudur, Arthur Gretton, Kenji Fu...