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» Learning aspect models with partially labeled data
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DATAMINE
2006
157views more  DATAMINE 2006»
15 years 3 months 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
CVPR
2007
IEEE
16 years 5 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
97
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SIGIR
2008
ACM
15 years 3 months 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 4 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...
124
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BMVC
2010
15 years 1 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...