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ICDCS
2007
IEEE
14 years 2 months ago
Uniform Data Sampling from a Peer-to-Peer Network
Uniform random sample is often useful in analyzing data. Usually taking a uniform sample is not a problem if the entire data resides in one location. However, if the data is distr...
Souptik Datta, Hillol Kargupta
KDD
2004
ACM
210views Data Mining» more  KDD 2004»
14 years 8 months ago
Probabilistic author-topic models for information discovery
We propose a new unsupervised learning technique for extracting information from large text collections. We model documents as if they were generated by a two-stage stochastic pro...
Mark Steyvers, Padhraic Smyth, Michal Rosen-Zvi, T...
KDD
2001
ACM
163views Data Mining» more  KDD 2001»
14 years 8 months ago
The "DGX" distribution for mining massive, skewed data
Skewed distributions appear very often in practice. Unfortunately, the traditional Zipf distribution often fails to model them well. In this paper, we propose a new probability di...
Zhiqiang Bi, Christos Faloutsos, Flip Korn
CORR
2010
Springer
143views Education» more  CORR 2010»
13 years 7 months ago
Efficient and exact sampling of simple graphs with given arbitrary degree sequence
Uniform sampling from graphical realizations of a given degree sequence is a fundamental component in simulation-based measurements of network observables, with applications rangi...
Charo I. Del Genio, Hyunju Kim, Zoltán Toro...
ECCV
2010
Springer
13 years 8 months ago
A Data-Driven Approach for Event Prediction
When given a single static picture, humans can not only interpret the instantaneous content captured by the image, but also they are able to infer the chain of dynamic events that ...
Jenny Yuen, Antonio Torralba