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» Closed Sets for Labeled Data
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169
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CVPR
2004
IEEE
16 years 6 months ago
Learning Classifiers from Imbalanced Data Based on Biased Minimax Probability Machine
We consider the problem of the binary classification on imbalanced data, in which nearly all the instances are labelled as one class, while far fewer instances are labelled as the...
Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. ...
147
Voted
IPMI
2007
Springer
16 years 5 months ago
Inter and Intra-modal Deformable Registration: Continuous Deformations Meet Efficient Optimal Linear Programming
In this paper we propose a novel non-rigid volume registration based on discrete labeling and linear programming. The proposed framework reformulates registration as a minimal path...
Ben Glocker, Nikos Komodakis, Nikos Paragios, Geor...
121
Voted
CSIE
2009
IEEE
15 years 11 months ago
Building a General Purpose Cross-Domain Sentiment Mining Model
Building a model using machine learning that can classify the sentiment of natural language text often requires an extensive set of labeled training data from the same domain as t...
Matthew Whitehead, Larry Yaeger
ECCV
2010
Springer
15 years 9 months ago
Learning to Recognize Objects from Unseen Modalities
Abstract. In this paper we investigate the problem of exploiting multiple sources of information for object recognition tasks when additional modalities that are not present in the...
172
Voted
ACII
2011
Springer
14 years 4 months ago
Exploring the Relationship between Novice Programmer Confusion and Achievement
Abstract. Using a discovery-with-models approach, we study the relationships between novice Java programmers’ experiences of confusion and their achievement, as measured through ...
Diane Marie C. Lee, Ma. Mercedes T. Rodrigo, Ryan ...