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» A General Method for Feature Matching and Model Extraction
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EMNLP
2009
15 years 1 months ago
Active Learning by Labeling Features
Methods that learn from prior information about input features such as generalized expectation (GE) have been used to train accurate models with very little effort. In this paper,...
Gregory Druck, Burr Settles, Andrew McCallum
135
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ICASSP
2011
IEEE
14 years 7 months ago
A new method for visual stylometry on impressionist paintings
A new emerging field, that of visual stylometry of art, proposes to apply image analysis and machine learning tools to high-resolution digital images of artwork in order to assis...
Hanchao Qi, Shannon Hughes
148
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SIGIR
2005
ACM
15 years 9 months ago
Title extraction from bodies of HTML documents and its application to web page retrieval
This paper is concerned with automatic extraction of titles from the bodies of HTML documents. Titles of HTML documents should be correctly defined in the title fields; however, i...
Yunhua Hu, Guomao Xin, Ruihua Song, Guoping Hu, Sh...
142
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MICCAI
2007
Springer
16 years 4 months ago
Characterizing Spatio-temporal Patterns for Disease Discrimination in Cardiac Echo Videos
Disease-specific understanding of echocardiographic sequences requires accurate characterization of spatio-temporal motion patterns. In this paper we present a method of automatic ...
Tanveer Fathima Syeda-Mahmood, Fei Wang, David Bey...
QSIC
2007
IEEE
15 years 10 months ago
An Incremental and FCA-Based Ontology Construction Method for Semantics-Based Component Retrieval
In semantics-based component retrieval ontology is usually employed as the semantic basis for component representation and matching. Existing methods always assume that the ontolo...
Xin Peng, Wenyun Zhao