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ICML
2007
IEEE
16 years 7 months ago
Learning a meta-level prior for feature relevance from multiple related tasks
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...
IPPS
2007
IEEE
16 years 1 months ago
Leakage Energy Reduction in Value Predictors through Static Decay
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...
Juan M. Cebrian, Juan L. Aragón, José...
JILP
2000
90views more  JILP 2000»
15 years 6 months ago
Speculative Updates of Local and Global Branch History: A Quantitative Analysis
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...
ICIP
2000
IEEE
16 years 8 months ago
Mean Shift and Optimal Prediction for Efficient Object Tracking
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...
Dorin Comaniciu, Visvanathan Ramesh
ICIP
2000
IEEE
16 years 8 months ago
Long-Term Memory Motion-Compensated Prediction for Robust Video Transmission
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...
Bernd Girod, Klaus Stuhlmüller, Niko Fär...