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3DPVT
2004
IEEE
13 years 8 months ago
Enhanced Vector Quantization for Data Reduction and Filtering
Modern automatic digitizers can sample huge amounts of 3D data points on the object surface in a short time. Point based graphics is becoming a popular framework to reduce the car...
Stefano Ferrari, Iuri Frosio, Vincenzo Piuri, N. A...
IJON
2010
152views more  IJON 2010»
13 years 3 months ago
Adaptive local dissimilarity measures for discriminative dimension reduction of labeled data
Due to the tremendous increase of electronic information with respect to the size of data sets as well as their dimension, dimension reduction and visualization of high-dimensiona...
Kerstin Bunte, Barbara Hammer, Axel Wismüller...
IVC
2007
94views more  IVC 2007»
13 years 4 months ago
Vector quantization and fuzzy ranks for image reconstruction
The problem of clustering is often addressed with techniques based on a Voronoi partition of the data space. Vector quantization is based on a similar principle, but it is a diffe...
Stefano Rovetta, Francesco Masulli
SAC
2005
ACM
13 years 10 months ago
Time-varying, multivariate volume data reduction
Large-scale supercomputing is revolutionizing the way science is conducted. A growing challenge, however, is understanding the massive quantities of data produced by largescale si...
Nathaniel Fout, Kwan-Liu Ma, James P. Ahrens
DAWAK
2001
Springer
13 years 9 months ago
Adaptable Similarity Search Using Vector Quantization
Adaptable similarity queries based on quadratic form distance functions are widely popular in data mining applications, particularly for domains such as multimedia, CAD, molecular ...
Christian Böhm, Hans-Peter Kriegel, Thomas Se...