In many prediction tasks, selecting relevant features is essential for achieving good generalization performance. Most feature selection algorithms consider all features to be a p...
Su-In Lee, Vassil Chatalbashev, David Vickrey, Dap...
As process technology advances toward deep submicron (below 90nm), static power becomes a new challenge to address for energy-efficient high performance processors, especially for...
In today's wide-issue processors, even small branch-misprediction rates introduce substantial performance penalties. Worse yet, inadequate branch prediction creates a bottlen...
Kevin Skadron, Margaret Martonosi, Douglas W. Clar...
A new paradigm for the efficient color-based tracking of objects seen from a moving camera is presented. The proposed technique employs the mean shift analysis to derive the targe...
Long-term memory predictionextends the spatial displacement vector utilized in hybrid video coding by a variable time delay permitting the use of more than one reference frame for...