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PAKDD
2011
ACM
245views Data Mining» more  PAKDD 2011»
12 years 10 months ago
Finding Rare Classes: Adapting Generative and Discriminative Models in Active Learning
Discovering rare categories and classifying new instances of them is an important data mining issue in many fields, but fully supervised learning of a rare class classifier is pr...
Timothy M. Hospedales, Shaogang Gong, Tao Xiang
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...
ECIR
2009
Springer
14 years 4 months ago
Combination of Documents Features Based on Simulated Click-through Data
Many different ranking algorithms based on content and context have been used in web search engines to find pages based on a user query. Furthermore, to achieve better performance ...
Ali Mohammad Zareh Bidoki, James A. Thom
ICMCS
2005
IEEE
97views Multimedia» more  ICMCS 2005»
14 years 1 months ago
Semantic Indexing for Instructional Video Via Combination of Handwriting Recognition and Information Retrieval
Efficient indexing and retrieval of digital videos are important needs within instructional video databases. Semantic indexing for instructional videos can be achieved by combini...
Lijun Tang, John R. Kender
CORR
2007
Springer
113views Education» more  CORR 2007»
13 years 7 months ago
Fast paths in large-scale dynamic road networks
Efficiently computing fast paths in large-scale dynamic road networks (where dynamic traffic information is known over a part of the network) is a practical problem faced by sever...
Giacomo Nannicini, Philippe Baptiste, Gilles Barbi...