Information retrieval algorithms leverage various collection statistics to improve performance. Because these statistics are often computed on a relatively small evaluation corpus...
Remote visualization of an arbitrary 2-D planar "cut" from a large volumetric dataset with random access has both gained importance and posed significant challenges over...
We present an analysis of F0 range and peak alignment in emotional speech from a heterogeneous group of speakers varying in age and gender. Both speaker and emotion had a strong e...
Eric Morley, Jan P. H. van Santen, Esther Klabbers...
The least recently used (LRU) replacement policy performs poorly in the last-level cache (LLC) because temporal locality of memory accesses is filtered by first and second level...
Samira Manabi Khan, Zhe Wang, Daniel A. Jimé...
Ensemble methods are learning algorithms that construct a set of classi ers and then classify new data points by taking a (weighted) vote of their predictions. The original ensembl...