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ICML
2006
IEEE
14 years 6 months ago
Discriminative cluster analysis
Clustering is one of the most widely used statistical tools for data analysis. Among all existing clustering techniques, k-means is a very popular method because of its ease of pr...
Fernando De la Torre, Takeo Kanade
VISUALIZATION
1998
IEEE
13 years 10 months ago
Hierarchical volume analysis and visualization based on morphological operators
One common problem in the practical application of volume visualization is the proper choice of transfer functions in order to color different parts of the volume meaningfully. Th...
Christoph Lürig, Thomas Ertl
NC
2007
129views Neural Networks» more  NC 2007»
13 years 5 months ago
Sorting of neural spikes: When wavelet based methods outperform principal component analysis
Sorting of the extracellularly recorded spikes is a basic prerequisite for analysis of the cooperative neural behavior and neural code. Fundamentally the sorting performance is deļ...
Alexey N. Pavlov, Valeri A. Makarov, Ioulia Makaro...
VLDB
2000
ACM
229views Database» more  VLDB 2000»
13 years 9 months ago
Local Dimensionality Reduction: A New Approach to Indexing High Dimensional Spaces
Many emerging application domains require database systems to support efficient access over highly multidimensional datasets. The current state-of-the-art technique to indexing hi...
Kaushik Chakrabarti, Sharad Mehrotra
CAIP
1997
Springer
125views Image Analysis» more  CAIP 1997»
13 years 9 months ago
An Algorithm for Intrinsic Dimensionality Estimation
Abstract. In this paper a new method for analyzing the intrinsic dimensionality (ID) of low dimensional manifolds in high dimensional feature spaces is presented. The basic idea is...
Jörg Bruske, Gerald Sommer