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FOCS
1999
IEEE
15 years 6 months ago
An Algorithmic Theory of Learning: Robust Concepts and Random Projection
We study the phenomenon of cognitive learning from an algorithmic standpoint. How does the brain effectively learn concepts from a small number of examples despite the fact that e...
Rosa I. Arriaga, Santosh Vempala
119
Voted
RAS
2008
112views more  RAS 2008»
15 years 1 months ago
Learning and generalising semantic knowledge from object scenes
The robot described in this paper learns words that relate to objects and their attributes and also learns concepts, which may be recursive, that involve relationships between sev...
Claire D'Este, Claude Sammut
IDA
2010
Springer
15 years 27 days ago
Multi-dimensional data construction method with its application to learning from small-sample-sets
Insufficient training data is one of the major problems in neural network learning, because it leads to poor learning performance. In order to enhance an intelligent learning proc...
Hsiao-Fan Wang, Chun-Jung Huang
143
Voted
ICML
2010
IEEE
15 years 3 months ago
A Theoretical Analysis of Feature Pooling in Visual Recognition
Many modern visual recognition algorithms incorporate a step of spatial `pooling', where the outputs of several nearby feature detectors are combined into a local or global `...
Y-Lan Boureau, Jean Ponce, Yann LeCun
WISE
2009
Springer
15 years 11 months ago
Integrated Environment for Visual Data-Level Mashup Development
The visual creation tools in the mashup frameworks are supposed to be simple and accessible. Yet at the same time there is a need to extend the capabilities and complexity of mashu...
Adam Westerski