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» Learning Rule Representations from Boolean Data
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ECML
2006
Springer
15 years 10 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
AAAI
2012
13 years 9 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
WACV
2008
IEEE
16 years 27 days 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 6 months 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
NECO
2007
152views more  NECO 2007»
15 years 6 months 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