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PKDD
2009
Springer
118views Data Mining» more  PKDD 2009»
15 years 11 months ago
The Feature Importance Ranking Measure
Most accurate predictions are typically obtained by learning machines with complex feature spaces (as e.g. induced by kernels). Unfortunately, such decision rules are hardly access...
Alexander Zien, Nicole Krämer, Sören Son...
SCALESPACE
2009
Springer
15 years 11 months ago
PDE-Driven Adaptive Morphology for Matrix Fields
Matrix fields are important in many applications since they are the adequate means to describe anisotropic behaviour in image processing models and physical measurements. A promin...
Bernhard Burgeth, Michael Breuß, Luis Pizarr...
SCALESPACE
2009
Springer
15 years 11 months ago
An Elasticity Approach to Principal Modes of Shape Variation
Abstract. Concepts from elasticity are applied to analyze modes of variation on shapes in two and three dimensions. This approach represents a physically motivated alternative to s...
Martin Rumpf, Benedikt Wirth
MM
2009
ACM
125views Multimedia» more  MM 2009»
15 years 11 months ago
Unfolding speaker clustering potential: a biomimetic approach
Speaker clustering is the task of grouping a set of speech utterances into speaker-specific classes. The basic techniques for solving this task are similar to those used for spea...
Thilo Stadelmann, Bernd Freisleben
153
Voted
AINA
2008
IEEE
15 years 11 months ago
A Proposed Scheme for Epidemic Routing with Active Curing for Opportunistic Networks
Opportunistic networking is emerging as a technique to exploit chance encounters among mobile nodes, and is distinct from previously studied behaviors found in sensor and ad hoc n...
Jonah P. Tower, Thomas D. C. Little