85 search results - page 4 / 17 » Word Recognition with a Hierarchical Neural Network |
NIPS
1996
15 years 29 days ago
1996
While on-line handwriting recognition is an area of long-standing and ongoing research, the recent emergence of portable, pen-based computers has focused urgent attention on usabl...
104
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IGPL
2011
14 years 6 months ago
2011
Clustering is a branch of multivariate analysis that is used to create groups of data. While there are currently a variety of techniques that are used for creating clusters, many ...
111
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ICDAR
2009
IEEE
15 years 6 months ago
2009
IEEE
It is known that convolutional neural networks (CNNs) are efficient for optical character recognition (OCR) and many other visual classification tasks. This paper applies error-co...
NN
2008
Springer
14 years 11 months ago
2008
Springer
We present a biologically motivated architecture for object recognition that is based on a hierarchical feature-detection model in combination with a memory architecture that impl...
108
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ECCV
2008
Springer
16 years 1 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...