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ICDAR
2003
IEEE
14 years 2 months ago
Features for Word Spotting in Historical Manuscripts
For the transition from traditional to digital libraries, the large number of handwritten manuscripts that exist pose a great challenge. Easy access to such collections requires a...
Toni M. Rath, R. Manmatha
CVPR
2009
IEEE
1390views Computer Vision» more  CVPR 2009»
15 years 4 months ago
Stacks of Convolutional Restricted Boltzmann Machines for Shift-Invariant Feature Learning
In this paper we present a method for learning classspecific features for recognition. Recently a greedy layerwise procedure was proposed to initialize weights of deep belief ne...
Mohammad Norouzi (Simon Fraser University), Mani R...
CBMS
1998
IEEE
14 years 1 months ago
Lexicon Assistance Reduces Manual Verification of OCR Output
An OCR system chosen for its high recognition rate and low percent of false positives also assigns low confidence values to many characters that are actually correct. Human operat...
Susan E. Hauser, A. C. Browne, George R. Thoma, Al...
WWW
2008
ACM
14 years 9 months ago
Graph theoretical framework for simultaneously integrating visual and textual features for efficient web image clustering
With the explosive growth of Web and the recent development in digital media technology, the number of images on the Web has grown tremendously. Consequently, Web image clustering...
Manjeet Rege, Ming Dong, Jing Hua
CIVR
2007
Springer
177views Image Analysis» more  CIVR 2007»
14 years 3 months ago
Matching ottoman words: an image retrieval approach to historical document indexing
Large archives of Ottoman documents are challenging to many historians all over the world. However, these archives remain inaccessible since manual transcription of such a huge vo...
Esra Ataer, Pinar Duygulu