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» Discovering Classification from Data of Multiple Sources
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CVPR
2009
IEEE
15 years 2 months ago
Co-training with Noisy Perceptual Observations
Many perception and multimedia indexing problems involve datasets that are naturally comprised of multiple streams or modalities for which supervised training data is only sparsely...
Ashish Kapoor, Chris Mario Christoudias, Raquel Ur...
KDD
2003
ACM
157views Data Mining» more  KDD 2003»
14 years 8 months ago
Cross-training: learning probabilistic mappings between topics
Classification is a well-established operation in text mining. Given a set of labels A and a set DA of training documents tagged with these labels, a classifier learns to assign l...
Sunita Sarawagi, Soumen Chakrabarti, Shantanu Godb...
SIAMIS
2008
119views more  SIAMIS 2008»
13 years 7 months ago
Direct Elastic Imaging of a Small Inclusion
In this paper we consider the problem of locating a small three-dimensional elastic inclusion, using arrays of elastic source transmitters and receivers. This procedure yields the ...
Habib Ammari, Pierre Calmon, Ekaterina Iakovleva
KDD
2007
ACM
152views Data Mining» more  KDD 2007»
14 years 8 months ago
A framework for classification and segmentation of massive audio data streams
In recent years, the proliferation of VOIP data has created a number of applications in which it is desirable to perform quick online classification and recognition of massive voi...
Charu C. Aggarwal
GIR
2006
ACM
14 years 1 months ago
Inferring Geographical Ontologies from Multiple Resources for Geographical Information Retrieval
Many documents that can be found in the World Wide Web include some kind of geographical information, often in an implicit way. The use of resources like gazetteers and geographic...
Davide Buscaldi, Paolo Rosso, Piedachu Peris