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» Reducing the Complexity of Reductions
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CACM
2010
104views more  CACM 2010»
15 years 6 months ago
Faster dimension reduction
Data represented geometrically in high-dimensional vector spaces can be found in many applications. Images and videos, are often represented by assigning a dimension for every pix...
Nir Ailon, Bernard Chazelle
IJPP
2008
72views more  IJPP 2008»
15 years 6 months ago
Modulo Path History for the Reduction of Pipeline Overheads in Path-based Neural Branch Predictors
Neural-inspired branch predictors achieve very low branch misprediction rates. However, previously proposed implementations have a variety of characteristics that make them challen...
Gabriel H. Loh, Daniel A. Jiménez
PR
2010
129views more  PR 2010»
15 years 5 months ago
Parsimonious reduction of Gaussian mixture models with a variational-Bayes approach
Aggregating statistical representations of classes is an important task for current trends in scaling up learning and recognition, or for addressing them in distributed infrastruc...
Pierrick Bruneau, Marc Gelgon, Fabien Picarougne
ICML
2010
IEEE
15 years 7 months ago
Projection Penalties: Dimension Reduction without Loss
Dimension reduction is popular for learning predictive models in high-dimensional spaces. It can highlight the relevant part of the feature space and avoid the curse of dimensiona...
Yi Zhang 0010, Jeff Schneider
ISSRE
2006
IEEE
16 years 20 days ago
Web Application Testing with Customized Test Requirements - An Experimental Comparison Study
Test suite reduction uses test requirement coverage to determine if the reduced test suite maintains the original suite’s requirement coverage. Based on observations from our pr...
Sreedevi Sampath, Sara Sprenkle, Emily Gibson, Lor...