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KDD
2006
ACM
145views Data Mining» more  KDD 2006»
16 years 3 months ago
Deriving quantitative models for correlation clusters
Correlation clustering aims at grouping the data set into correlation clusters such that the objects in the same cluster exhibit a certain density and are all associated to a comm...
Arthur Zimek, Christian Böhm, Elke Achtert, H...
PAMI
2007
217views more  PAMI 2007»
15 years 2 months ago
Discriminative Learning and Recognition of Image Set Classes Using Canonical Correlations
—We address the problem of comparing sets of images for object recognition, where the sets may represent variations in an object’s appearance due to changing camera pose and li...
Tae-Kyun Kim, Josef Kittler, Roberto Cipolla
CHI
2007
ACM
16 years 3 months ago
Meta-analysis of correlations among usability measures
Understanding the relation between usability measures seems crucial to deepen our conception of usability and to select the right measures for usability studies. We present a meta...
Kasper Hornbæk, Effie Lai-Chong Law
111
Voted
CORR
2010
Springer
121views Education» more  CORR 2010»
15 years 1 months ago
Mechanism Design via Correlation Gap
For revenue and welfare maximization in singledimensional Bayesian settings, Chawla et al. (STOC10) recently showed that sequential posted-price mechanisms (SPMs), though simple i...
Qiqi Yan
ASPDAC
2009
ACM
164views Hardware» more  ASPDAC 2009»
15 years 9 months ago
Accounting for non-linear dependence using function driven component analysis
Majority of practical multivariate statistical analyses and optimizations model interdependence among random variables in terms of the linear correlation among them. Though linear...
Lerong Cheng, Puneet Gupta, Lei He