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» Learning Rule Representations from Boolean Data
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ECML
2006
Springer
15 years 4 months ago
Automatically Evolving Rule Induction Algorithms
Research in the rule induction algorithm field produced many algorithms in the last 30 years. However, these algorithms are usually obtained from a few basic rule induction algorit...
Gisele L. Pappa, Alex Alves Freitas
120
Voted
AAAI
2012
13 years 3 months ago
A Testbed for Learning by Demonstration from Natural Language and RGB-Depth Video
We are developing a testbed for learning by demonstration combining spoken language and sensor data in a natural real-world environment. Microsoft Kinect RGBDepth cameras allow us...
Young Chol Song, Henry A. Kautz
106
Voted
WACV
2008
IEEE
15 years 7 months ago
Mosaicfaces: a discrete representation for face recognition
Most face recognition algorithms use a “distancebased” approach: gallery and probe images are projected into a low dimensional feature space and decisions about matching are b...
Jania Aghajanian, Simon J. D. Prince
JMLR
2006
186views more  JMLR 2006»
15 years 17 days ago
Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabeled Examples
We propose a family of learning algorithms based on a new form of regularization that allows us to exploit the geometry of the marginal distribution. We focus on a semi-supervised...
Mikhail Belkin, Partha Niyogi, Vikas Sindhwani
131
Voted
NECO
2007
152views more  NECO 2007»
15 years 3 days ago
3D Periodic Human Motion Reconstruction from 2D Motion Sequences
In this report, we present and evaluate a method of reconstructing three-dimensional (3D) periodic human motion from two-dimensional (2D) motion sequences. Based on a Fourier deco...
Zonghua Zhang, Nikolaus F. Troje