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ICDM
2009
IEEE
137views Data Mining» more  ICDM 2009»
15 years 11 months ago
Regression Learning Vector Quantization
— Learning Vector Quantization (LVQ) is a popular class of nearest prototype classifiers for multiclass classification. Learning algorithms from this family are widely used becau...
Mihajlo Grbovic, Slobodan Vucetic
VMV
2001
248views Visualization» more  VMV 2001»
15 years 6 months ago
Using an Extended Hough Transform Combined with a Kalman Filter to Segment Tubular Structures in 3D Medical Images
We present a new approach for the coarse segmentation of tubular structures in 3D image data. Our algorithm, which requires only few initial values and minimal user interaction, c...
Thorsten Behrens, Karl Rohr, H. Siegfried Stiehl
ICASSP
2011
IEEE
14 years 8 months ago
Using residual vector quantization for image content classification
Multistage residual vector quantizers (RVQ) with optimal direct sum decoder codebooks have been successfully designed and implemented for data compression. Due to its multistage s...
Syed Irteza Ali Khan, Christopher F. Barnes
AAIM
2006
Springer
143views Algorithms» more  AAIM 2006»
15 years 11 months ago
A Compression-Boosting Transform for Two-Dimensional Data
We introduce a novel invertible transform for two-dimensional data which has the objective of reordering the matrix so it will improve its (lossless) compression at later stages. T...
Qiaofeng Yang, Stefano Lonardi, Avraham Melkman
PAKDD
2009
ACM
133views Data Mining» more  PAKDD 2009»
15 years 11 months ago
On Link Privacy in Randomizing Social Networks
Many applications of social networks require relationship anonymity due to the sensitive, stigmatizing, or confidential nature of relationship. Recent work showed that the simple ...
Xiaowei Ying, Xintao Wu