25 search results - page 1 / 5 » A variational multi-view learning framework and its applicat... |
ICMCS
2009
IEEE
13 years 2 months ago
2009
IEEE
The paper presents a novel multi-view learning framework based on variational inference. We formulate the framework as a graph representation in form of graph factorization: the g...
CVPR
2011
IEEE
13 years 17 days ago
2011
IEEE
We present a novel framework for tree-structure embedded density estimation and its fast approximation for mode seeking. The proposed method could find diverse applications in co...
EMMCVPR
2003
Springer
13 years 9 months ago
2003
Springer
We study a notion of variation for real valued two variable functions called the path variation and we discuss its application as a low-level image segmentation method. For this pu...
CVPR
2010
IEEE
14 years 2 days ago
2010
IEEE
Due to the lack of explicit spatial consideration, existing
epitome model may fail for image recognition and target detection,
which directly motivates us to propose the so-calle...
ECCV
2006
Springer
14 years 6 months ago
2006
Springer
Abstract. Foreground and background segmentation is a typical problem in computer vision and medical imaging. In this paper, we propose a new learning based approach for 3D segment...