56 search results - page 4 / 12 » Generative Image Segmentation Using Random Walks with Restar... |
MIR
2005
ACM
15 years 3 months ago
2005
ACM
In this paper, we propose a transductive learning method for content-based image retrieval: Multiple Random Walk (MRW). Its basic idea is to construct two generative models by mea...
ICMCS
2009
IEEE
14 years 7 months ago
2009
IEEE
With the explosive growth of web resources, how to mine semantically relevant images efficiently becomes a challenging and necessary task. In this paper, we propose a concept sens...
CVPR
2010
IEEE
15 years 5 months ago
2010
IEEE
Seeded image segmentation is a popular type of supervised image segmentation in computer vision and image processing. Previous methods of seeded image segmentation treat the image...
ATAL
2008
Springer
14 years 11 months ago
2008
Springer
Reinforcement Learning research is traditionally devoted to solve single-task problems. Therefore, anytime a new task is faced, learning must be restarted from scratch. Recently, ...
TIP
2010
14 years 4 months ago
2010
One weakness in the existing interactive image segmentation algorithms is the lack of more intelligent ways to understand the intention of user inputs. In this paper, we advocate t...