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» Pruning Training Sets for Learning of Object Categories
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WWW
2011
ACM
13 years 4 months ago
Learning to re-rank: query-dependent image re-ranking using click data
Our objective is to improve the performance of keyword based image search engines by re-ranking their baseline results. To this end, we address three limitations of existing searc...
Vidit Jain, Manik Varma
WMTE
2002
IEEE
14 years 2 months ago
Pattern-Based Annotations on E-Books: From Personal to Shared Didactic Content
Our research aims at defining models and software tools in order to provide learners with a training memory. This memory is a computer-based space where a learner can organize and...
Cyrille Desmoulins, Dominique Mille
JCDL
2004
ACM
125views Education» more  JCDL 2004»
14 years 2 months ago
Generating fuzzy semantic metadata describing spatial relations from images using the R-histogram
Automatic generation of semantic metadata describing spatial relations is highly desirable for image digital libraries. Relative spatial relations between objects in an image conv...
Yuhang Wang, Fillia Makedon, James Ford, Li Shen, ...
CIKM
2008
Springer
13 years 11 months ago
Learning a two-stage SVM/CRF sequence classifier
Learning a sequence classifier means learning to predict a sequence of output tags based on a set of input data items. For example, recognizing that a handwritten word is "ca...
Guilherme Hoefel, Charles Elkan
WSDM
2012
ACM
267views Data Mining» more  WSDM 2012»
12 years 4 months ago
Learning to rank with multi-aspect relevance for vertical search
Many vertical search tasks such as local search focus on specific domains. The meaning of relevance in these verticals is domain-specific and usually consists of multiple well-d...
Changsung Kang, Xuanhui Wang, Yi Chang, Belle L. T...