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» Classifier Selection Based on Data Complexity Measures
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CVPR
2004
IEEE
15 years 12 months ago
Model-Based Motion Clustering Using Boosted Mixture Modeling
Model-based clustering of motion trajectories can be posed as the problem of learning an underlying mixture density function whose components correspond to motion classes with dif...
Vladimir Pavlovic
AFRIGRAPH
2010
ACM
15 years 1 months ago
Progressive RBF interpolation
Interpolation based on Radial Basis Functions (RBF) is very often used for scattered scalar data interpolation in n-dimensional space in general. RBFs are used for surface reconst...
Václav Skala
GECCO
2009
Springer
173views Optimization» more  GECCO 2009»
15 years 4 months ago
Creating regular expressions as mRNA motifs with GP to predict human exon splitting
Low correlation between mRNA concentrations measured at different locations for the same exon show many current Ensembl exon definitions are incomplete. Automatically created pa...
William B. Langdon, Joanna Rowsell, Andrew P. Harr...
SC
2005
ACM
15 years 3 months ago
How Well Can Simple Metrics Represent the Performance of HPC Applications?
In this paper, a systematic study of the effects of complexity of prediction methodology on its accuracy for a set of real applications on a variety of HPC systems is performed. R...
Laura Carrington, Michael Laurenzano, Allan Snavel...
DEXA
2005
Springer
80views Database» more  DEXA 2005»
15 years 3 months ago
Optimizing I/O Costs of Multi-dimensional Queries Using Bitmap Indices
Bitmap indices are efficient data structures for processing complex, multi-dimensional queries in data warehouse applications and scientific data analysis. For high-cardinality at...
Doron Rotem, Kurt Stockinger, Kesheng Wu