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RECOMB
2002
Springer
16 years 6 months ago
A new approach to analyzing gene expression time series data
We present algorithms for time-series gene expression analysis that permit the principled estimation of unobserved timepoints, clustering, and dataset alignment. Each expression p...
Ziv Bar-Joseph, Georg Gerber, David K. Gifford, To...
FOCS
2008
IEEE
16 years 28 days ago
Kakeya Sets, New Mergers and Old Extractors
A merger is a probabilistic procedure which extracts the randomness out of any (arbitrarily correlated) set of random variables, as long as one of them is uniform. Our main result...
Zeev Dvir, Avi Wigderson
MMSP
2008
IEEE
184views Multimedia» more  MMSP 2008»
16 years 26 days ago
When multimedia advertising meets the new Internet era
—The advent of media-sharing sites, especially along with the so called Web 2.0 wave, has led to the unprecedented Internet delivery of community-contributed media contents such ...
Xian-Sheng Hua, Tao Mei, Shipeng Li
ADC
2007
Springer
145views Database» more  ADC 2007»
16 years 20 days ago
The Privacy of k-NN Retrieval for Horizontal Partitioned Data -- New Methods and Applications
Recently, privacy issues have become important in clustering analysis, especially when data is horizontally partitioned over several parties. Associative queries are the core retr...
Artak Amirbekyan, Vladimir Estivill-Castro
STOC
2005
ACM
138views Algorithms» more  STOC 2005»
16 years 1 days ago
A new strategy for querying priced information
This paper focuses on competitive function evaluation in the context of computing with priced information. A function f is given together with a cost cx for each variable x of f. ...
Ferdinando Cicalese, Eduardo Sany Laber