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» Estimating Missing Data in Data Streams
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SDM
2009
SIAM
191views Data Mining» more  SDM 2009»
14 years 7 months ago
Adaptive Concept Drift Detection.
An established method to detect concept drift in data streams is to perform statistical hypothesis testing on the multivariate data in the stream. Statistical decision theory off...
Anton Dries, Ulrich Rückert
CORR
2010
Springer
80views Education» more  CORR 2010»
13 years 10 months ago
Multi-path Probabilistic Available Bandwidth Estimation through Bayesian Active Learning
Knowing the largest rate at which data can be sent on an end-to-end path such that the egress rate is equal to the ingress rate with high probability can be very practical when ch...
Frederic Thouin, Mark Coates, Michael Rabbat
CORR
2011
Springer
158views Education» more  CORR 2011»
13 years 5 months ago
Polynomial Estimators for High Frequency Moments
We present an algorithm for computing Fp, the pth moment of an n-dimensional frequency vector of a data stream, for p > 2, to within 1 ± factors, ∈ (0, 1] with high constant...
Sumit Ganguly
ICIP
1994
IEEE
14 years 11 months ago
Robust Optical Flow Estimation
Motion information is essential in many computer vision and video analysis tasks. Since MPEG is still one of the most prevalent formats for representing, transferring and storing ...
Sugata Ghosal, Rajiv Mehrotra
ICDM
2008
IEEE
184views Data Mining» more  ICDM 2008»
14 years 4 months ago
Bayesian Co-clustering
In recent years, co-clustering has emerged as a powerful data mining tool that can analyze dyadic data connecting two entities. However, almost all existing co-clustering techniqu...
Hanhuai Shan, Arindam Banerjee