8 search results - page 1 / 2 » Supervised Hierarchical Pitman-Yor Process for Natural Scene... |
CVPR
2011
IEEE
13 years 14 days ago
2011
IEEE
From conventional wisdom and empirical studies of annotated data, it has been shown that visual statistics such as object frequencies and segment sizes follow power law distributi...
NIPS
2008
13 years 6 months ago
2008
We develop a statistical framework for the simultaneous, unsupervised segmentation and discovery of visual object categories from image databases. Examining a large set of manuall...
EMNLP
2010
13 years 3 months ago
2010
Inducing a grammar directly from text is one of the oldest and most challenging tasks in Computational Linguistics. Significant progress has been made for inducing dependency gram...
NIPS
2004
13 years 6 months ago
2004
Capturing dependencies in images in an unsupervised manner is important for many image processing applications. We propose a new method for capturing nonlinear dependencies in ima...
CVPR
2007
IEEE
14 years 7 months ago
2007
IEEE
We propose a novel unsupervised learning framework for activity perception. To understand activities in complicated scenes from visual data, we propose a hierarchical Bayesian mod...