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» Large-Scale Data Analysis Using Heuristic Methods
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SP
2010
IEEE
192views Security Privacy» more  SP 2010»
15 years 1 months ago
How Good Are Humans at Solving CAPTCHAs? A Large Scale Evaluation
—Captchas are designed to be easy for humans but hard for machines. However, most recent research has focused only on making them hard for machines. In this paper, we present wha...
Elie Bursztein, Steven Bethard, Celine Fabry, John...
BMCBI
2005
115views more  BMCBI 2005»
14 years 9 months ago
MPrime: efficient large scale multiple primer and oligonucleotide design for customized gene microarrays
Background: Enhancements in sequencing technology have recently yielded assemblies of large genomes including rat, mouse, human, fruit fly, and zebrafish. The availability of larg...
Eric C. Rouchka, Abdelnaby Khalyfa, Nigel G. F. Co...
ISBI
2008
IEEE
15 years 10 months ago
Inferring brain dynamics using granger causality on fMRI data
Here we present a scalable method to compute the structure of causal links over large scale dynamical systems that achieves high efficiency in discovering actual functional connec...
Guillermo A. Cecchi, Rahul Garg, A. Ravishankar Ra...
PRIB
2009
Springer
135views Bioinformatics» more  PRIB 2009»
15 years 4 months ago
Sequential Hierarchical Pattern Clustering
Abstract. Clustering is a widely used unsupervised data analysis technique in machine learning. However, a common requirement amongst many existing clustering methods is that all p...
Bassam Farran, Amirthalingam Ramanan, Mahesan Nira...
IPPS
2005
IEEE
15 years 3 months ago
MaTCH : Mapping Data-Parallel Tasks on a Heterogeneous Computing Platform Using the Cross-Entropy Heuristic
We propose in this paper a heuristic for mapping a set of interacting tasks of a parallel application onto a heterogeneous computing platform such as a computational grid. Our nov...
Soumya Sanyal, Sajal K. Das