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» Learning Visual Invariance
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PPSN
2004
Springer
14 years 1 months ago
Coupling of Evolution and Learning to Optimize a Hierarchical Object Recognition Model
Abstract. A key problem in designing artificial neural networks for visual object recognition tasks is the proper choice of the network architecture. Evolutionary optimization met...
Georg Schneider, Heiko Wersing, Bernhard Sendhoff,...
NIPS
2008
13 years 9 months ago
Learning Taxonomies by Dependence Maximization
We introduce a family of unsupervised algorithms, numerical taxonomy clustering, to simultaneously cluster data, and to learn a taxonomy that encodes the relationship between the ...
Matthew B. Blaschko, Arthur Gretton
BC
1998
94views more  BC 1998»
13 years 7 months ago
Quantization of human motions and learning of accurate movements
This paper presents a mathematical model for the learning of accurate human arm movements. Its main features are that the movement is the superposition of smooth submovements, the ...
Etienne Burdet, Theodore E. Milner
HCI
2009
13 years 5 months ago
Automatically Structuring Text for Audio Learning
In recent years podcasting has been in great demand as a recreation and a learning tool. In this paper we describe the design and implementation of a system for automatically conve...
Barbara Leporini, Maria Claudia Buzzi, Marina Buzz...
ICMCS
2009
IEEE
147views Multimedia» more  ICMCS 2009»
13 years 5 months ago
Not all tags are created equal: Learning flickr tag semantics for global annotation
Large collaborative datasets offer the challenging opportunity of creating systems capable of extracting knowledge in the presence of noisy data. In this work we explore the abili...
Emily Moxley, Jim Kleban, Jiejun Xu, B. S. Manjuna...