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» Data Mining: Machine Learning, Statistics, and Databases
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ICCV
2005
IEEE
15 years 7 months ago
On the Spatial Statistics of Optical Flow
We develop a method for learning the spatial statistics of optical flow fields from a novel training database. Training flow fields are constructed using range images of natur...
Stefan Roth, Michael J. Black
JMLR
2010
116views more  JMLR 2010»
14 years 8 months ago
Feature Selection, Association Rules Network and Theory Building
As the size and dimensionality of data sets increase, the task of feature selection has become increasingly important. In this paper we demonstrate how association rules can be us...
Sanjay Chawla
VLDB
2004
ACM
123views Database» more  VLDB 2004»
15 years 7 months ago
CORDS: Automatic Generation of Correlation Statistics in DB2
When query optimizers erroneously assume that database columns are statistically independent, they can underestimate the selectivities of conjunctive predicates by orders of magni...
Ihab F. Ilyas, Volker Markl, Peter J. Haas, Paul G...
108
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ICML
2007
IEEE
16 years 2 months ago
Three new graphical models for statistical language modelling
The supremacy of n-gram models in statistical language modelling has recently been challenged by parametric models that use distributed representations to counteract the difficult...
Andriy Mnih, Geoffrey E. Hinton
KDD
2007
ACM
209views Data Mining» more  KDD 2007»
16 years 1 months ago
Temporal causal modeling with graphical granger methods
The need for mining causality, beyond mere statistical correlations, for real world problems has been recognized widely. Many of these applications naturally involve temporal data...
Andrew Arnold, Yan Liu, Naoki Abe