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DOLAP
2006
ACM
16 years 20 days ago
A study on workload-aware wavelet synopses for point and range-sum queries
In this paper we perform an extensive theoretical and experimental study on common synopsis construction algorithms, with emphasis on wavelet based techniques, that take under con...
Michael Mathioudakis, Dimitris Sacharidis, Timos K...
PAMI
2002
78views more  PAMI 2002»
15 years 6 months ago
Robust Factorization
Factorization algorithms for recovering structure and motion from an image stream have many advantages, but they usually require a set of well tracked features. Such a set is in g...
Henrik Aanæs, Rune Fisker, Kalle Åstr&...
151
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COLT
1993
Springer
15 years 10 months ago
Learning from a Population of Hypotheses
We introduce a new formal model in which a learning algorithm must combine a collection of potentially poor but statistically independent hypothesis functions in order to approxima...
Michael J. Kearns, H. Sebastian Seung
WSDM
2012
ACM
245views Data Mining» more  WSDM 2012»
14 years 2 months ago
The early bird gets the buzz: detecting anomalies and emerging trends in information networks
In this work we propose a novel approach to anomaly detection in streaming communication data. We first build a stochastic model for the system based on temporal communication pa...
Brian Thompson
DIS
2007
Springer
16 years 26 days ago
Fast NML Computation for Naive Bayes Models
Abstract. The Minimum Description Length (MDL) is an informationtheoretic principle that can be used for model selection and other statistical inference tasks. One way to implement...
Tommi Mononen, Petri Myllymäki