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ECCV
2008
Springer
15 years 11 months ago
Training Hierarchical Feed-Forward Visual Recognition Models Using Transfer Learning from Pseudo-Tasks
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...
Amr Ahmed, Kai Yu, Wei Xu, Yihong Gong, Eric P. Xi...
ICPR
2004
IEEE
15 years 10 months ago
Morphological Tagging Approach in Document Analysis of Invoices
In this paper a morphological tagging approach for document image invoice analysis is described. Tokens close by their morphology and confirmed in their location within different ...
Abdel Belaïd, Yolande Belaïd
ICPR
2008
IEEE
15 years 11 months ago
Incremental classification of invoice documents
This paper deals with incremental classification and its particular application to invoice classification. An improved version of an already existant incremental neural network ca...
Hatem Hamza, Yolande Belaïd, Abdel Belaï...
CVPR
2012
IEEE
13 years 4 days ago
Multi-view latent variable discriminative models for action recognition
Many human action recognition tasks involve data that can be factorized into multiple views such as body postures and hand shapes. These views often interact with each other over ...
Yale Song, Louis-Philippe Morency, Randall Davis
ICDAR
2009
IEEE
15 years 4 months ago
Character-SIFT: A Novel Feature for Offline Handwritten Chinese Character Recognition
SIFT descriptor has been widely applied in computer vision and object recognition, but has not been explored in the field of handwritten Chinese character recognition. In this pap...
Zhiyi Zhang, Lianwen Jin, Kai Ding, Xue Gao