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PAKDD
2009
ACM
87views Data Mining» more  PAKDD 2009»
13 years 11 months ago
Application-Independent Feature Construction from Noisy Samples
When training classifiers, presence of noise can severely harm their performance. In this paper, we focus on “non-class” attribute noise and we consider how a frequent fault-t...
Dominique Gay, Nazha Selmaoui, Jean-Françoi...
WWW
2010
ACM
13 years 11 months ago
Sampling high-quality clicks from noisy click data
Click data captures many users’ document preferences for a query and has been shown to help significantly improve search engine ranking. However, most click data is noisy and of...
Adish Singla, Ryen W. White
ICDAR
2009
IEEE
13 years 11 months ago
Scalable Feature Extraction from Noisy Documents
We cope with the metadata recognition in layoutoriented documents. We address the problem as a classification task and propose a method for automatic extraction of relevant featu...
Loïc Lecerf, Boris Chidlovskii
VISUALIZATION
1998
IEEE
13 years 9 months ago
Extremal feature extraction from 3-D vector and noisy scalar fields
We are interested in feature extraction from volume data in terms of coherent surfaces and 3-D space curves. The input can be an inaccurate scalar or vector field, sampled densely...
Chi-Keung Tang, Gérard G. Medioni
FOCS
2007
IEEE
13 years 8 months ago
Inferring Local Homology from Sampled Stratified Spaces
We study the reconstruction of a stratified space from a possibly noisy point sample. Specifically, we use the vineyard of the distance function restricted to a 1-parameter family...
Paul Bendich, David Cohen-Steiner, Herbert Edelsbr...