1746 search results - page 49 / 350 » Hierarchical Unsupervised Learning |
125
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ACL
2009
15 years 14 days ago
2009
In this paper, we propose a new Bayesian model for fully unsupervised word segmentation and an efficient blocked Gibbs sampler combined with dynamic programming for inference. Our...
156
Voted
ACL
2011
14 years 6 months ago
2011
We propose a non-parametric Bayesian model for unsupervised semantic parsing. Following Poon and Domingos (2009), we consider a semantic parsing setting where the goal is to (1) d...
129
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ICRA
2008
IEEE
15 years 9 months ago
2008
IEEE
— In this paper, we present an approach allowing a robot to learn a generative model of its own physical body from scratch using self-perception with a single monocular camera. O...
209
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PRL
2011
14 years 5 months ago
2011
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....
139
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CVPR
2003
IEEE
16 years 4 months ago
2003
IEEE
We present a method to learn and recognize object class models from unlabeled and unsegmented cluttered scenes in a scale invariant manner. Objects are modeled as flexible constel...