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» A New Indexing Method for High Dimensional Dataset
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115
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ISCAS
2008
IEEE
145views Hardware» more  ISCAS 2008»
15 years 7 months ago
Group learning using contrast NMF : Application to functional and structural MRI of schizophrenia
— Non-negative Matrix factorization (NMF) has increasingly been used as a tool in signal processing in the last couple of years. NMF, like independent component analysis (ICA) is...
Vamsi K. Potluru, Vince D. Calhoun
DAGM
2010
Springer
15 years 1 months ago
Gaussian Mixture Modeling with Gaussian Process Latent Variable Models
Density modeling is notoriously difficult for high dimensional data. One approach to the problem is to search for a lower dimensional manifold which captures the main characteristi...
Hannes Nickisch, Carl Edward Rasmussen
88
Voted
ICCS
2005
Springer
15 years 6 months ago
Dimension Reduction for Clustering Time Series Using Global Characteristics
Existing methods for time series clustering rely on the actual data values can become impractical since the methods do not easily handle dataset with high dimensionality, missing v...
Xiaozhe Wang, Kate A. Smith, Rob J. Hyndman
BMCBI
2010
205views more  BMCBI 2010»
15 years 25 days ago
A fast indexing approach for protein structure comparison
Background: Protein structure comparison is a fundamental task in structural biology. While the number of known protein structures has grown rapidly over the last decade, searchin...
Lei Zhang, James Bailey, Arun Siddharth Konagurthu...
96
Voted
VISUALIZATION
2003
IEEE
15 years 6 months ago
Visibility based methods and assessment for detail-recovery
In this paper we propose a new method for the creation of normal maps for recovering the detail on simplified meshes and a set of objective techniques to metrically evaluate the ...
Marco Tarini, Paolo Cignoni, Roberto Scopigno