5 search results - page 1 / 1 » Knowledge Transfer in Deep Convolutional Neural Nets |
FLAIRS
2007
13 years 7 months ago
2007
Knowledge transfer is widely held to be a primary mechanism that enables humans to quickly learn new complex concepts when given only small training sets. In this paper, we apply ...
FLAIRS
2009
13 years 2 months ago
2009
A neural net with multiple output nodes is capable of distinguishing among a set of related input classes even in the absence of training. It can do so with an accuracy that is ma...
ICML
2010
IEEE
13 years 6 months ago
2010
IEEE
We consider the fully automated recognition of actions in uncontrolled environment. Most existing work relies on domain knowledge to construct complex handcrafted features from in...
PR
2007
13 years 4 months ago
2007
This article focusses on the problems of feature extraction and the recognition of handwritten digits. A trainable feature extractor based on the LeNet5 convolutional neural netwo...
ECCV
2008
Springer
14 years 7 months ago
2008
Springer
Abstract. Building visual recognition models that adapt across different domains is a challenging task for computer vision. While feature-learning machines in the form of hierarchi...