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COLT
2004
Springer
13 years 11 months ago
Regret Bounds for Hierarchical Classification with Linear-Threshold Functions
We study the problem of classifying data in a given taxonomy when classifications associated with multiple and/or partial paths are allowed. We introduce an incremental algorithm u...
Nicolò Cesa-Bianchi, Alex Conconi, Claudio ...
NECO
1998
168views more  NECO 1998»
13 years 7 months ago
Constructive Incremental Learning from Only Local Information
We introduce a constructive, incremental learning system for regression problems that models data by means of spatially localized linear models. In contrast to other approaches, t...
Stefan Schaal, Christopher G. Atkeson
ICML
2009
IEEE
14 years 8 months ago
Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations
There has been much interest in unsupervised learning of hierarchical generative models such as deep belief networks. Scaling such models to full-sized, high-dimensional images re...
Honglak Lee, Roger Grosse, Rajesh Ranganath, Andre...
ICCSA
2003
Springer
14 years 27 days ago
Web Visualization of Function-Defined Shapes
Abstract. This paper describes how function-based shape modeling can be expanded to web visualization, as well as how web-based visualization can be greatly improved by using the f...
Alexei Sourin, Lai Feng Min, Konstantin Levinski
IROS
2006
IEEE
144views Robotics» more  IROS 2006»
14 years 1 months ago
Hierarchical Featureless Tracking for Position-Based 6-DoF Visual Servoing
— Classical position-based visual servoing approaches rely on the presence of distinctive features in the image such as corners and edges. In this contribution we exploit a hiera...
Wolfgang Sepp, Stefan Fuchs, Gerd Hirzinger