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» Unsupervised Feature Selection Using Feature Similarity
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81
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EACL
2006
ACL Anthology
15 years 1 months ago
Word Sense Induction: Triplet-Based Clustering and Automatic Evaluation
In this paper a novel solution to automatic and unsupervised word sense induction (WSI) is introduced. It represents an instantiation of the `one sense per collocation' obser...
Stefan Bordag
113
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CRV
2007
IEEE
137views Robotics» more  CRV 2007»
15 years 6 months ago
Quantitative Evaluation of Feature Extractors for Visual SLAM
We present a performance evaluation framework for visual feature extraction and matching in the visual simultaneous localization and mapping (SLAM) context. Although feature extra...
Jonathan Klippenstein, Hong Zhang
SMI
2010
IEEE
188views Image Analysis» more  SMI 2010»
14 years 11 months ago
Sharp Feature Detection in Point Clouds
—This paper presents a new technique for detecting sharp features on point-sampled geometry. Sharp features of different nature and possessing angles varying from obtuse to acute...
Christopher Weber, Stefanie Hahmann, Hans Hagen
ECSA
2010
Springer
14 years 10 months ago
Feature-Based Composition of Software Architectures
In Software Product Lines variability refers to the definition and utilization of differences between several products. Feature Diagrams (FD) are a well-known approach to express v...
Carlos Andres Parra, Anthony Cleve, Xavier Blanc, ...
86
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PKDD
2009
Springer
118views Data Mining» more  PKDD 2009»
15 years 7 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...