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» On learning algorithm selection for classification
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CVPR
2007
IEEE
14 years 10 months ago
Segmenting Motions of Different Types by Unsupervised Manifold Clustering
We propose a novel algorithm for segmenting multiple motions of different types from point correspondences in multiple affine or perspective views. Since point trajectories associ...
Alvina Goh, René Vidal
BMCBI
2008
129views more  BMCBI 2008»
13 years 9 months ago
A unified approach to false discovery rate estimation
Background: False discovery rate (FDR) methods play an important role in analyzing highdimensional data. There are two types of FDR, tail area-based FDR and local FDR, as well as ...
Korbinian Strimmer
WWW
2009
ACM
14 years 9 months ago
Automatically assessing resource quality for educational digital libraries
With the rise of community-generated web content, the need for automatic assessment of resource quality has grown, particularly in the realm of educational digital libraries. We d...
Philipp G. Wetzler, Steven Bethard, Kirsten R. But...
COCOON
2009
Springer
14 years 3 months ago
On the Performances of Nash Equilibria in Isolation Games
: Network games play a fundamental role in understanding behavior in many domains, ranging from communication networks through markets to social networks. Such networks are used, a...
Vittorio Bilò, Michele Flammini, Gianpiero ...
ATAL
2007
Springer
14 years 3 months ago
Effective tag mechanisms for evolving coordination
Tags or observable features shared by a group of similar agents are effectively used in real and artificial societies to signal intentions and can be used to infer unobservable ...
Matthew Matlock, Sandip Sen