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» A Note on Concepts and Distances
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KDD
2005
ACM
163views Data Mining» more  KDD 2005»
15 years 11 months ago
Web mining from competitors' websites
This paper presents a framework for user-oriented text mining. It is then illustrated with an example of discovering knowledge from competitors’ websites. The knowledge to be di...
Xin Chen, Yi-fang Brook Wu
ICMCS
2007
IEEE
177views Multimedia» more  ICMCS 2007»
15 years 9 months ago
Robust Analysis and Weighting on MFCC Components for Speech Recognition and Speaker Identification
Mismatch between training and testing data is a major error source for both Automatic Speech Recognition (ASR) and Automatic Speaker Identification (ASI). In this paper, we first ...
Xi Zhou, Yun Fu, Ming Liu, Mark Hasegawa-Johnson, ...
WSCG
2001
86views more  WSCG 2001»
15 years 6 months ago
Object-Centered Navigation in Virtual Construction Applications
In this paper we present a novel concept for navigation in virtual environments. While a variety of navigation metaphors have been proposed for immersive VR, desktop scenarios are...
Colette Elcacho, Thomas Dingel, Reinhard Klein
CVPR
2001
IEEE
16 years 7 months ago
Learning Models for Object Recognition
We consider learning models for object recognition from examples. Our method is motivated by systems that use the Hausdorff distance as a shape comparison measure. Typically an ob...
Pedro F. Felzenszwalb
ICDE
1999
IEEE
183views Database» more  ICDE 1999»
16 years 6 months ago
ROCK: A Robust Clustering Algorithm for Categorical Attributes
Clustering, in data mining, is useful to discover distribution patterns in the underlying data. Clustering algorithms usually employ a distance metric based (e.g., euclidean) simi...
Sudipto Guha, Rajeev Rastogi, Kyuseok Shim