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» Set cover algorithms for very large datasets
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CVPR
2011
IEEE
13 years 3 months ago
Unbiased Look at Dataset Bias
Datasets are an integral part of contemporary object recognition research. They have been the chief reason for the considerable progress in the field, not just as source of large...
Antonio Torralba, Alyosha Efros
BMCBI
2010
106views more  BMCBI 2010»
13 years 8 months ago
Predicting MHC class I epitopes in large datasets
Background: Experimental screening of large sets of peptides with respect to their MHC binding capabilities is still very demanding due to the large number of possible peptide seq...
Kirsten Roomp, Iris Antes, Thomas Lengauer
CSB
2004
IEEE
109views Bioinformatics» more  CSB 2004»
14 years 4 days ago
Rec-I-DCM3: A Fast Algorithmic Technique for Reconstructing Large Phylogenetic Trees
Phylogenetic trees are commonly reconstructed based on hard optimization problems such as maximum parsimony (MP) and maximum likelihood (ML). Conventional MP heuristics for produc...
Usman Roshan, Bernard M. E. Moret, Tandy Warnow, T...
IJVR
2006
166views more  IJVR 2006»
13 years 8 months ago
Multi-screen Tiled Displayed, Parallel Rendering System for a Large Terrain Dataset
Real time terrain rendering plays a very important role in many fields, such of GIS, virtual reality, and military simulations. With the rapid development of PC-level hardware, rec...
Ping Yin, Xiaohong Jiang, Jiaoying Shi, Ran Zhou
APLAS
2009
ACM
14 years 2 months ago
Large Spurious Cycle in Global Static Analyses and Its Algorithmic Mitigation
We present a simple algorithmic extension of the classical call-strings approach to mitigate substantial performance degradation caused by spurious interprocedural cycles. Spuriou...
Hakjoo Oh