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PAMI
1998
128views more  PAMI 1998»
13 years 8 months ago
A Hierarchical Latent Variable Model for Data Visualization
—Visualization has proven to be a powerful and widely-applicable tool for the analysis and interpretation of multivariate data. Most visualization algorithms aim to find a projec...
Christopher M. Bishop, Michael E. Tipping
WOB
2004
233views Bioinformatics» more  WOB 2004»
13 years 10 months ago
Recent Advances in Gene Expression Data Clustering: A Case Study with Comparative Results
Several advanced techniques have been proposed for data clustering and many of them have been applied to gene expression data, with partial success. The high dimensionality and the...
George Barreto Bezerra, Geraldo M. A. Cança...
PR
2006
116views more  PR 2006»
13 years 8 months ago
Shared farthest neighbor approach to clustering of high dimensionality, low cardinality data
Clustering algorithms are routinely used in biomedical disciplines, and are a basic tool in bioinformatics. Depending on the task at hand, there are two most popular options, the ...
Stefano Rovetta, Francesco Masulli
VRST
2009
ACM
14 years 3 months ago
Indexing and retrieval of human motion data by a hierarchical tree
For the convenient reuse of large-scale 3D motion capture data, browsing and searching methods for the data should be explored. In this paper, an efficient indexing and retrieval...
Shuangyuan Wu, Zhaoqi Wang, Shihong Xia
SASO
2008
IEEE
14 years 3 months ago
Hierarchical Organizations and a Supporting Software Architecture for Floating Car Data
The use of floating car data is an interesting method to monitor traffic. Vehicles act as local traffic sensors and data from individual vehicles is aggregated into higher-leve...
Robrecht Haesevoets, Danny Weyns, Tom Holvoet, Wou...