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» A data driven method for feature transformation
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ACL
2010
13 years 5 months ago
Learning Better Data Representation Using Inference-Driven Metric Learning
We initiate a study comparing effectiveness of the transformed spaces learned by recently proposed supervised, and semisupervised metric learning algorithms to those generated by ...
Paramveer S. Dhillon, Partha Pratim Talukdar, Koby...
TVCG
2011
170views more  TVCG 2011»
13 years 2 months ago
Feature-Preserving Volume Data Reduction and Focus+Context Visualization
— The growing sizes of volumetric data sets pose a great challenge for interactive visualization. In this paper, we present a feature-preserving data reduction and focus+context ...
Yu-Shuen Wang, Chaoli Wang, Tong-Yee Lee, Kwan-Liu...
ICASSP
2011
IEEE
12 years 11 months ago
Data driven model based least squares image reconstruction for radio astronomy
Image reconstruction problems in radio astronomy and other fields like biomedical imaging are often ill-posed and some form of regularization is required. This imposes user speci...
Stefan J. Wijnholds, Alle-Jan van der Veen
SPIESR
2004
118views Database» more  SPIESR 2004»
13 years 9 months ago
New method for visual descriptor evaluation
Evaluation in visual information retrieval is usually performed by executing test queries and calculating recall and precision based on predefined media collections and ground tru...
Horst Eidenberger
ICIAR
2009
Springer
14 years 2 months ago
Scale Invariant Feature Transform with Irregular Orientation Histogram Binning
The SIFT (Scale Invariant Feature Transform) descriptor is a widely used method for matching image features. However, perfect scale invariance can not be achieved in practice becau...
Yan Cui, Nils Hasler, Thorsten Thormählen, Ha...