43 search results - page 4 / 9 » Visualisation of tree-structured data through generative pro... |
NIPS
2001
14 years 11 months ago
2001
This paper presents a novel approach to the unsupervised learning of syntactic analyses of natural language text. Most previous work has focused on maximizing likelihood according...
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ICCV
2005
IEEE
15 years 11 months ago
2005
IEEE
In this paper, a new learning framework?probabilistic boosting-tree (PBT), is proposed for learning two-class and multi-class discriminative models. In the learning stage, the pro...
CIKM
2011
Springer
13 years 9 months ago
2011
Springer
We introduce a generative probabilistic document model based on latent Dirichlet allocation (LDA), to deal with textual errors in the document collection. Our model is inspired by...
KDD
2007
ACM
15 years 10 months ago
2007
ACM
Modeling the evolution of topics with time is of great value in automatic summarization and analysis of large document collections. In this work, we propose a new probabilistic gr...
ICRA
2010
IEEE
14 years 8 months ago
2010
IEEE
Abstract— Scene recognition is a highly valuable perceptual ability for an indoor mobile robot, however, current approaches for scene recognition present a significant drop in p...