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NIPS
2008
15 years 5 months ago
Exploring Large Feature Spaces with Hierarchical Multiple Kernel Learning
For supervised and unsupervised learning, positive definite kernels allow to use large and potentially infinite dimensional feature spaces with a computational cost that only depe...
Francis Bach
167
Voted
CVPR
2012
IEEE
13 years 6 months ago
Learning 3D object templates by hierarchical quantization of geometry and appearance spaces
This paper presents a method for learning 3D object templates from view labeled object images. The 3D template is defined in a joint appearance and geometry space, and is compose...
Wenze Hu
AAAI
1994
15 years 5 months ago
High Dimension Action Spaces in Robot Skill Learning
Table lookup with interpolation is used for many learning and adaptation tasks. Redundant mappings capture the important concept of \motor skill," which is important in real,...
Jeff G. Schneider
163
Voted
PAA
2010
15 years 2 months ago
Exploiting visual and text features for direct marketing learning in time and space constrained domains
Traditionally, direct marketing companies have relied on pre-testing to select the best offers to send to their audiences. Companies systematically dispatch the offers under consid...
Sebastiano Battiato, Giovanni Maria Farinella, Gio...
IADIS
2004
15 years 5 months ago
A Proposal for Visualising Learning Materials in A 3D Space
This paper introduces a study, part of a work concerning a tool that enables teachers to create educational materials. Production of such educational materials is based on predefi...
Dominique Deuff, Nicole Devoldère, Isabelle...