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» Set cover algorithms for very large datasets
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WPES
2003
ACM
15 years 3 months ago
Secure and private sequence comparisons
We give an efficient protocol for sequence comparisons of the edit-distance kind, such that neither party reveals anything about their private sequence to the other party (other t...
Mikhail J. Atallah, Florian Kerschbaum, Wenliang D...
CIKM
2008
Springer
14 years 11 months ago
Are click-through data adequate for learning web search rankings?
Learning-to-rank algorithms, which can automatically adapt ranking functions in web search, require a large volume of training data. A traditional way of generating training examp...
Zhicheng Dou, Ruihua Song, Xiaojie Yuan, Ji-Rong W...
AAAI
2008
15 years 4 days ago
A Fast Data Collection and Augmentation Procedure for Object Recognition
When building an application that requires object class recognition, having enough data to learn from is critical for good performance, and can easily determine the success or fai...
Benjamin Sapp, Ashutosh Saxena, Andrew Y. Ng
ICDCN
2009
Springer
15 years 4 months ago
Flooding-Assisted Threshold Assignment for Aggregate Monitoring in Sensor Networks
The research community has witnessed a large interest in monitoring large scale distributed systems. In these applications typically we wish to monitor a global system condition wh...
Ali Abbasi, Ahmad Khonsari, Mohammad Sadegh Talebi
RECOMB
2009
Springer
15 years 10 months ago
Spatial Clustering of Multivariate Genomic and Epigenomic Information
The combination of fully sequence genomes and new technologies for high density arrays and ultra-rapid sequencing enables the mapping of generegulatory and epigenetics marks on a g...
Rami Jaschek, Amos Tanay