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Bag-of-words classification of miniature illustrations.
2010In this paper a system for illuminated manuscripts images analysis is presented. In particular the bag-of-keypoints strategy, commonly adopted for object recognition, image classification and scene recognition, is applied to the classification of automatically extracted miniatures.
GRANA, Costantino +3 more
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"Bag of words" is not enough for strength of evidence classification.
AMIA ... Annual Symposium proceedings. AMIA Symposium, 2007Incorporation of evidence from clinical research requires critical appraisal of its quality. Information retrieval systems can facilitate clinicians' judgments by automatically labeling retrieved citations with their strength of evidence categories. Preliminary results of such a text classification experiment involving MEDLINE citations show that a ...
Jimmy Lin, Dina Demner-Fushman
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Bag-of-visual-words and spatial extensions for land-use classification
ACM SIGSPATIAL International Workshop on Advances in Geographic Information Systems, 2010Yi Yang, S. Newsam
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Bag of Words approaches for Bioinformatics
2015In recent years, several Pattern Recognition problems have been successfully faced by approaches based on the "bag of words" representation. This representation is particularly appropriate when the pattern is characterized (or assumed to be characterized) by the repetition of basic, "constituting" elements called words.
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Scale-space multi-view bag of words for scene categorization
Multimedia tools and applications, 2020Davar Giveki
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Bag of spatio-visual words for context inference in scene classification
Pattern Recognition, 2013Ioannis Pratikakis, S Perantonis
exaly
Bag-of-words representation for biomedical time series classification
Biomedical Signal Processing and Control, 2013Jin Wang +2 more
exaly
Sequential Bag-of-Words model for human action classification
CAAI Transactions on Intelligence Technology, 2016Hong Liu, Hao Tang
exaly
Bag-of-word normalized n-gram models
Interspeech 2008, 2008Abhinav Sethy, Bhuvana Ramabhadran
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