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ICML
2008
IEEE
15 years 10 months ago
A decoupled approach to exemplar-based unsupervised learning
A recent trend in exemplar based unsupervised learning is to formulate the learning problem as a convex optimization problem. Convexity is achieved by restricting the set of possi...
Gökhan H. Bakir, Sebastian Nowozin
FGR
2006
IEEE
217views Biometrics» more  FGR 2006»
15 years 4 months ago
Face Recognition with Image Sets Using Hierarchically Extracted Exemplars from Appearance Manifolds
An unsupervised nonparametric approach is proposed to automatically extract representative face samples (exemplars) from a video sequence or an image set for multipleshot face rec...
Wei Fan, Dit-Yan Yeung
ICIAR
2005
Springer
15 years 3 months ago
Estimating the Natural Number of Classes on Hierarchically Clustered Multi-spectral Images
Image classification is often used to extract information from multi-spectral satellite images. Unsupervised methods can produce results well adjusted to the data, but that are us...
André R. S. Marçal, Janete S. Borges
ICML
2008
IEEE
15 years 10 months ago
ManifoldBoost: stagewise function approximation for fully-, semi- and un-supervised learning
We introduce a boosting framework to solve a classification problem with added manifold and ambient regularization costs. It allows for a natural extension of boosting into both s...
Nicolas Loeff, David A. Forsyth, Deepak Ramachandr...
COLING
2002
14 years 9 months ago
Unsupervised Named Entity Classification Models and their Ensembles
This paper proposes an unsupervised learning model for classifying named entities. This model uses a training set, built automatically by means of a small-scale named entity dicti...
Jae-Ho Kim, In-Ho Kang, Key-Sun Choi