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BMCBI
2007
123views more  BMCBI 2007»
13 years 4 months ago
Robust clustering in high dimensional data using statistical depths
Background: Mean-based clustering algorithms such as bisecting k-means generally lack robustness. Although componentwise median is a more robust alternative, it can be a poor cent...
Yuanyuan Ding, Xin Dang, Hanxiang Peng, Dawn Wilki...
TVCG
2010
147views more  TVCG 2010»
13 years 3 months ago
Superquadric Glyphs for Symmetric Second-Order Tensors
—Symmetric second-order tensor fields play a central role in scientific and biomedical studies as well as in image analysis and feature-extraction methods. The utility of displ...
Thomas Schultz, Gordon L. Kindlmann
EGC
2005
Springer
13 years 10 months ago
Statistical Modeling and Segmentation in Cardiac MRI Using a Grid Computing Approach
Abstract. Grid technology is widely emerging as a solution for wide-spread applicability of computerized analysis and processing procedures in biomedical sciences. In this paper we...
Sebastián Ordas, Hans C. van Assen, Loic Bo...
ICASSP
2008
IEEE
13 years 11 months ago
Transmit codes and receive filters for pulse compression radar systems
Pulse compression radar systems make use of transmit code sequences and receive filters that are specially designed to achieve good range resolution and target detection capabili...
Petre Stoica, Jian Li, Ming Xue
SIGMOD
2010
ACM
262views Database» more  SIGMOD 2010»
13 years 9 months ago
K-nearest neighbor search for fuzzy objects
The K-Nearest Neighbor search (kNN) problem has been investigated extensively in the past due to its broad range of applications. In this paper we study this problem in the contex...
Kai Zheng, Gabriel Pui Cheong Fung, Xiaofang Zhou