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» Computing LTS Regression for Large Data Sets
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127
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VISUALIZATION
2005
IEEE
15 years 9 months ago
Interactive Rendering of Large Unstructured Grids Using Dynamic Level-of-Detail
We describe a new dynamic level-of-detail (LOD) technique that allows real-time rendering of large tetrahedral meshes. Unlike approaches that require hierarchies of tetrahedra, ou...
Steven P. Callahan, João Luiz Dihl Comba, P...
152
Voted
BMCBI
2005
212views more  BMCBI 2005»
15 years 3 months ago
PAGE: Parametric Analysis of Gene Set Enrichment
Background: Gene set enrichment analysis (GSEA) is a microarray data analysis method that uses predefined gene sets and ranks of genes to identify significant biological changes i...
Seon-Young Kim, David J. Volsky
KDD
1998
ACM
99views Data Mining» more  KDD 1998»
15 years 7 months ago
On the Efficient Gathering of Sufficient Statistics for Classification from Large SQL Databases
For a wide variety of classification algorithms, scalability to large databases can be achieved by observing that most algorithms are driven by a set of sufficient statistics that...
Goetz Graefe, Usama M. Fayyad, Surajit Chaudhuri
125
Voted
NIPS
2001
15 years 4 months ago
Fast, Large-Scale Transformation-Invariant Clustering
In previous work on "transformed mixtures of Gaussians" and "transformed hidden Markov models", we showed how the EM algorithm in a discrete latent variable mo...
Brendan J. Frey, Nebojsa Jojic
131
Voted
IPPS
2003
IEEE
15 years 8 months ago
Accurate Method for Fast Design of Diagnostic Oligonucleotide Probe Sets for DNA Microarrays
We present a method for the automatic generation of oligonucleotide probe sets for DNA microarrays. This approach is well suited particularly for specificity evaluation of design...
Andreas Krause, Markus Kräutner, Harald Meier