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» Learning aspect models with partially labeled data
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DATAMINE
2006
157views more  DATAMINE 2006»
15 years 23 days ago
Data Clustering with Partial Supervision
Clustering with partial supervision finds its application in situations where data is neither entirely nor accurately labeled. This paper discusses a semisupervised clustering algo...
Abdelhamid Bouchachia, Witold Pedrycz
108
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CVPR
2007
IEEE
16 years 2 months ago
Region Classification with Markov Field Aspect Models
Considerable advances have been made in learning to recognize and localize visual object classes. Simple bag-offeature approaches label each pixel or patch independently. More adv...
Jakob J. Verbeek, Bill Triggs
79
Voted
SIGIR
2008
ACM
15 years 20 days ago
A boosting algorithm for learning bipartite ranking functions with partially labeled data
Massih-Reza Amini, Tuong-Vinh Truong, Cyril Goutte
ICML
2005
IEEE
16 years 1 months ago
A model for handling approximate, noisy or incomplete labeling in text classification
We introduce a Bayesian model, BayesANIL, that is capable of estimating uncertainties associated with the labeling process. Given a labeled or partially labeled training corpus of...
Ganesh Ramakrishnan, Krishna Prasad Chitrapura, Ra...
106
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BMVC
2010
14 years 10 months ago
Label propagation in complex video sequences using semi-supervised learning
We propose a novel directed graphical model for label propagation in lengthy and complex video sequences. Given hand-labelled start and end frames of a video sequence, a variation...
Ignas Budvytis, Vijay Badrinarayanan, Roberto Cipo...