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ICCV
2003
IEEE
14 years 12 months ago
A Bayesian Approach to Unsupervised One-Shot Learning of Object Categories
Learning visual models of object categories notoriously requires thousands of training examples; this is due to the diversity and richness of object appearance which requires mode...
Fei-Fei Li 0002, Robert Fergus, Pietro Perona
ICML
2007
IEEE
14 years 10 months ago
Dirichlet aggregation: unsupervised learning towards an optimal metric for proportional data
Proportional data (normalized histograms) have been frequently occurring in various areas, and they could be mathematically abstracted as points residing in a geometric simplex. A...
Hua-Yan Wang, Hongbin Zha, Hong Qin
ICML
2010
IEEE
13 years 11 months ago
Climbing the Tower of Babel: Unsupervised Multilingual Learning
For centuries, scholars have explored the deep links among human languages. In this paper, we present a class of probabilistic models that use these links as a form of naturally o...
Benjamin Snyder, Regina Barzilay
PRL
2011
13 years 24 days ago
A Bayes-true data generator for evaluation of supervised and unsupervised learning methods
Benchmarking pattern recognition, machine learning and data mining methods commonly relies on real-world data sets. However, there are some disadvantages in using real-world data....
Janick V. Frasch, Aleksander Lodwich, Faisal Shafa...
ECCV
2000
Springer
14 years 11 months ago
Unsupervised Learning of Models for Recognition
We present a method to learn object class models from unlabeled and unsegmented cluttered scenes for the purpose of visual object recognition. We focus on a particular type of mode...
Markus Weber, Max Welling, Pietro Perona