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KDD
2007
ACM
276views Data Mining» more  KDD 2007»
15 years 10 months ago
Nonlinear adaptive distance metric learning for clustering
A good distance metric is crucial for many data mining tasks. To learn a metric in the unsupervised setting, most metric learning algorithms project observed data to a lowdimensio...
Jianhui Chen, Zheng Zhao, Jieping Ye, Huan Liu
88
Voted
CGF
1999
86views more  CGF 1999»
14 years 9 months ago
Generalized View-Dependent Simplification
We propose a technique for performing view-dependent geometry and topology simplifications for level-of-detailbased renderings of large models. The algorithm proceeds by preproces...
Jihad El-Sana, Amitabh Varshney
JSYML
2010
60views more  JSYML 2010»
14 years 4 months ago
Generalizations of small profinite structures
We generalize the model theory of small profinite structures developed by Newelski to the case of compact metric spaces considered together with compact groups of homeomorphisms a...
Krzysztof Krupinski
ICCV
1998
IEEE
15 years 1 months ago
Condensing Image Databases when Retrieval is Based on Non-Metric Distances
One of the key problems in appearance-based vision is understanding how to use a set of labeled images to classify new images. Classification systems that can model human performa...
David W. Jacobs, Daphna Weinshall, Yoram Gdalyahu
IV
2008
IEEE
182views Visualization» more  IV 2008»
15 years 4 months ago
3D Generalization Lenses for Interactive Focus + Context Visualization of Virtual City Models
Focus + context visualization facilitates the exploration of complex information spaces. This paper proposes 3D generalization lenses, a new visualization technique for virtual 3D...
Matthias Trapp, Tassilo Glander, Henrik Buchholz, ...