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» Lossy Reduction for Very High Dimensional Data
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APGV
2008
ACM
145views Visualization» more  APGV 2008»
15 years 1 months ago
On optimal resampling of view and illumination dependent textures
The use of illumination and view dependent textural information is one way to capture the realistic appearance of genuine materials. One example of such data is the bidirectional ...
Jirí Filip, Mike J. Chantler, Michal Haindl
BMCBI
2002
195views more  BMCBI 2002»
14 years 11 months ago
Clustering of the SOM easily reveals distinct gene expression patterns: results of a reanalysis of lymphoma study
Background: A method to evaluate and analyze the massive data generated by series of microarray experiments is of utmost importance to reveal the hidden patterns of gene expressio...
Junbai Wang, Jan Delabie, Hans Christian Aasheim, ...
ITCC
2002
IEEE
15 years 4 months ago
Performance of KDB-Trees with Query-Based Splitting
While the persistent data of many advanced database applications, such as OLAP and scientific studies, are characterized by very high dimensionality, typical queries posed on thes...
Yves Lépouchard, John L. Pfaltz, Ratko Orla...
PRL
2000
148views more  PRL 2000»
14 years 11 months ago
One-dimensional representation of two-dimensional information for HMM based handwriting recognition
: In this study, we introduce a set of one-dimensional features to represent two dimensional shape information for HMM (Hidden Markov Model) based handwritten optical character rec...
Nafiz Arica, Fatos T. Yarman-Vural
LSSC
2001
Springer
15 years 4 months ago
On the Parallelization of the Sparse Grid Approach for Data Mining
Abstract. Recently we presented a new approach [5, 6] to the classification problem arising in data mining. It is based on the regularization network approach, but in contrast to ...
Jochen Garcke, Michael Griebel