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» A Statistical Learning Approach To Document Image Analysis
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98
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NIPS
1998
15 years 4 months ago
Learning a Continuous Hidden Variable Model for Binary Data
A directed generative model for binary data using a small number of hidden continuous units is investigated. A clipping nonlinearity distinguishes the model from conventional prin...
Daniel D. Lee, Haim Sompolinsky
121
Voted
DAS
2008
Springer
15 years 5 months ago
Difference of Boxes Filters Revisited: Shadow Suppression and Efficient Character Segmentation
A robust segmentation is the most important part of an automatic character recognition system (e.g. document processing, license plate recognition etc.). In our contribution we pr...
Erik Rodner, Herbert Süße, Wolfgang Ort...
190
Voted
CVPR
2012
IEEE
13 years 5 months ago
Leveraging category-level labels for instance-level image retrieval
In this article, we focus on the problem of large-scale instance-level image retrieval. For efficiency reasons, it is common to represent an image by a fixed-length descriptor w...
Albert Gordo, José A. Rodríguez-Serr...
ICADL
2004
Springer
162views Education» more  ICADL 2004»
15 years 8 months ago
Character Region Identification from Cover Images Using DTT
A robust character region identification approach is proposed here to deal with cover images using a differential top-hat transformation (DTT). The DTT is derived from morphologica...
Lixu Gu
139
Voted
CVPR
2004
IEEE
16 years 5 months ago
Learning a Restricted Bayesian Network for Object Detection
Many classes of images have the characteristics of sparse structuring of statistical dependency and the presence of conditional independencies among various groups of variables. S...
Henry Schneiderman