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» Measuring independence of datasets
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111
Voted
ML
2010
ACM
147views Machine Learning» more  ML 2010»
14 years 7 months ago
An ensemble uncertainty aware measure for directed hill climbing ensemble pruning
This paper proposes a new measure for ensemble pruning via directed hill climbing, dubbed Uncertainty Weighted Accuracy (UWA), which takes into account the uncertainty of the decis...
Ioannis Partalas, Grigorios Tsoumakas, Ioannis P. ...
92
Voted
WEBI
2009
Springer
15 years 5 months ago
Summarizing Documents by Measuring the Importance of a Subset of Vertices within a Graph
— This paper presents a novel method of generating extractive summaries for multiple documents. Given a cluster of documents, we firstly construct a graph where each vertex repre...
Shouyuan Chen, Minlie Huang, Zhiyong Lu
SIBGRAPI
2009
IEEE
15 years 7 months ago
Fractal-JSEG: JSEG Using an Homogeneity Measurement Based on Local Fractal Descriptor
—This paper proposes an improved version for the JSEG color image segmentation algorithm, combining the classical JSEG algorithm and a local fractal operator that measures the fr...
Karin S. Komati, Evandro O. T. Salles, Maái...
117
Voted
ICIP
2009
IEEE
14 years 10 months ago
Learning weighted similarity measurements for unconstrained face recognition
Unconstrained face recognition is the problem of deciding if an image pair is showing the same individual or not, without having class specific training material or knowing anythi...
Andre Störmer, Gerhard Rigoll
124
Voted
ECCV
2000
Springer
15 years 5 months ago
Measuring the Self-Consistency of Stereo Algorithms
A new approach to characterizing the performance of point-correspondence algorithms is presented. Instead of relying on any \ground truth', it uses the self-consistency of th...
Yvan G. Leclerc, Quang-Tuan Luong, Pascal Fua