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SPLC
2008
15 years 6 months ago
Filtered Cartesian Flattening: An Approximation Technique for Optimally Selecting Features while Adhering to Resource Constraint
Software Product-lines (SPLs) use modular software components that can be reconfigured into different variants for different requirements sets. Feature modeling is a common method...
Jules White, B. Doughtery, Douglas C. Schmidt
ICCV
2007
IEEE
16 years 6 months ago
Steerable Random Fields
In contrast to traditional Markov random field (MRF) models, we develop a Steerable Random Field (SRF) in which the field potentials are defined in terms of filter responses that ...
Stefan Roth, Michael J. Black
CHI
2008
ACM
15 years 6 months ago
Effects of intelligent notification management on users and their tasks
We present a novel system for notification management and report results from two studies testing its performance and impact. The system uses statistical models to realize defer-t...
Shamsi T. Iqbal, Brian P. Bailey
CVPR
2012
IEEE
13 years 7 months ago
Multiclass pixel labeling with non-local matching constraints
A popular approach to pixel labeling problems, such as multiclass image segmentation, is to construct a pairwise conditional Markov random field (CRF) over image pixels where the...
Stephen Gould
KDD
2004
ACM
170views Data Mining» more  KDD 2004»
16 years 5 months ago
Why collective inference improves relational classification
Procedures for collective inference make simultaneous statistical judgments about the same variables for a set of related data instances. For example, collective inference could b...
David Jensen, Jennifer Neville, Brian Gallagher