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» A Comparison of Clustering Methods for Word Image Indexing
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DRR
2009
13 years 5 months ago
Retrieval of historical documents by word spotting
The implementation of word spotting is not an easy procedure and it gets even worse in the case of historical documents since it requires character recognition and indexing of the...
Nikoleta Doulgeri, Ergina Kavallieratou
ICDAR
2011
IEEE
12 years 7 months ago
BLSTM Neural Network Based Word Retrieval for Hindi Documents
—Retrieval from Hindi document image collections is a challenging task. This is partly due to the complexity of the script, which has more than 800 unique ligatures. In addition,...
Raman Jain, Volkmar Frinken, C. V. Jawahar, Raghav...
CIVR
2010
Springer
215views Image Analysis» more  CIVR 2010»
13 years 11 months ago
Multi modal semantic indexing for image retrieval
Popular image retrieval schemes generally rely only on a single mode, (either low level visual features or embedded text) for searching in multimedia databases. Many popular image...
Chandrika Pulla, C. V. Jawahar
NAACL
2010
13 years 5 months ago
Multi-Prototype Vector-Space Models of Word Meaning
Current vector-space models of lexical semantics create a single "prototype" vector to represent the meaning of a word. However, due to lexical ambiguity, encoding word ...
Joseph Reisinger, Raymond J. Mooney
ADC
2007
Springer
183views Database» more  ADC 2007»
13 years 12 months ago
Efficient Similarity Search by Summarization in Large Video Database
With the explosion of video data, video processing technologies have advanced quickly and been applied into many fields, such as advertisements, medical etc.. To fast search these...
Xiangmin Zhou, Xiaofang Zhou, Heng Tao Shen