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» Classifying Problems into Complexity Classes
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74
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JMLR
2002
144views more  JMLR 2002»
15 years 3 days ago
Round Robin Classification
In this paper, we discuss round robin classification (aka pairwise classification), a technique for handling multi-class problems with binary classifiers by learning one classifie...
Johannes Fürnkranz
107
Voted
AI
2002
Springer
15 years 9 days ago
Learning cost-sensitive active classifiers
Most classification algorithms are "passive", in that they assign a class label to each instance based only on the description given, even if that description is incompl...
Russell Greiner, Adam J. Grove, Dan Roth
95
Voted
ISI
2005
Springer
15 years 6 months ago
Leveraging One-Class SVM and Semantic Analysis to Detect Anomalous Content
Experiments were conducted to test several hypotheses on methods for improving document classification for the malicious insider threat problem within the Intelligence Community. ...
Ozgur Yilmazel, Svetlana Symonenko, Niranjan Balas...
97
Voted
CVPR
2006
IEEE
16 years 2 months ago
A Conic Section Classifier and its Application to Image Datasets
Many problems in computer vision involving recognition and/or classification can be posed in the general framework of supervised learning. There is however one aspect of image dat...
Arunava Banerjee, Santhosh Kodipaka, Baba C. Vemur...
92
Voted
ECCV
2008
Springer
16 years 2 months ago
Beyond Nouns: Exploiting Prepositions and Comparative Adjectives for Learning Visual Classifiers
Learning visual classifiers for object recognition from weakly labeled data requires determining correspondence between image regions and semantic object classes. Most approaches u...
Abhinav Gupta, Larry S. Davis