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» Ontological Framework for Approximation
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ISBI
2004
IEEE
16 years 5 months ago
Fourier-Based Forward and Back-Projectors in Iterative Fan-Beam Tomographic Image Reconstruction
Fourier-based forward and back-projection methods have the potential to reduce computation demands in iterative tomographic image reconstruction. Interpolation errors are a limita...
Yingying Zhang, Jeffrey A. Fessler
WWW
2007
ACM
16 years 5 months ago
Parallel crawling for online social networks
Given a huge online social network, how do we retrieve information from it through crawling? Even better, how do we improve the crawling performance by using parallel crawlers tha...
Duen Horng Chau, Shashank Pandit, Samuel Wang, Chr...
KDD
2006
ACM
163views Data Mining» more  KDD 2006»
16 years 5 months ago
New EM derived from Kullback-Leibler divergence
We introduce a new EM framework in which it is possible not only to optimize the model parameters but also the number of model components. A key feature of our approach is that we...
Longin Jan Latecki, Marc Sobel, Rolf Lakämper
KDD
2003
ACM
214views Data Mining» more  KDD 2003»
16 years 5 months ago
Adaptive duplicate detection using learnable string similarity measures
The problem of identifying approximately duplicate records in databases is an essential step for data cleaning and data integration processes. Most existing approaches have relied...
Mikhail Bilenko, Raymond J. Mooney
RECOMB
2003
Springer
16 years 4 months ago
Maximum entropy modeling of short sequence motifs with applications to RNA splicing signals
We propose a framework for modeling sequence motifs based on the maximum entropy principle (MEP). We recommend approximating short sequence motif distributions with the maximum en...
Gene W. Yeo, Christopher B. Burge