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NIPS
2001
14 years 4 days ago
Scaling Laws and Local Minima in Hebbian ICA
We study the dynamics of a Hebbian ICA algorithm extracting a single non-Gaussian component from a high-dimensional Gaussian background. For both on-line and batch learning we fin...
Magnus Rattray, Gleb Basalyga
ETS
2006
IEEE
67views Hardware» more  ETS 2006»
13 years 10 months ago
Surviving the Shipwreck: What Makes Online Students Stay Online and Learn?
Johannes C. Cronjé, Debbie E. Adendorff, Sa...
AROBOTS
2002
115views more  AROBOTS 2002»
13 years 10 months ago
Statistical Learning for Humanoid Robots
The complexity of the kinematic and dynamic structure of humanoid robots make conventional analytical approaches to control increasingly unsuitable for such systems. Learning techn...
Sethu Vijayakumar, Aaron D'Souza, Tomohiro Shibata...
ICCV
2007
IEEE
15 years 21 days ago
Gradient Feature Selection for Online Boosting
Boosting has been widely applied in computer vision, especially after Viola and Jones's seminal work [23]. The marriage of rectangular features and integral-imageenabled fast...
Ting Yu, Xiaoming Liu 0002
CLEF
2009
Springer
13 years 12 months ago
Batch Document Filtering Using Nearest Neighbor Algorithm
This paper describes the participation of LIG lab, in the batch filtering task for the INFILE (INformation FILtering Evaluation) campaign of CLEF 2009. As opposed to the online ta...
Ali Mustafa Qamar, Éric Gaussier, Nathalie ...