765 search results - page 111 / 153 » Learning from Multiple Annotators with Gaussian Processes |
113
Voted
TKDE
2008
15 years 3 months ago
2008
Relevance feedback (RF) is an iterative process, which refines the retrievals by utilizing the user's feedback on previously retrieved results. Traditional RF techniques solel...
141
Voted
CVPR
2012
IEEE
13 years 6 months ago
2012
IEEE
We present a method to detect the regions of interests in moving camera views of dynamic scenes with multiple moving objects. We start by extracting a global motion tendency that ...
171
Voted
CVPR
2008
IEEE
16 years 5 months ago
2008
IEEE
Current approaches to pose estimation and tracking can be classified into two categories: generative and discriminative. While generative approaches can accurately determine human...
156
Voted
ICCV
2007
IEEE
16 years 5 months ago
2007
IEEE
Many computer vision tasks may be expressed as the problem of learning a mapping between image space and a parameter space. For example, in human body pose estimation, recent rese...
139
Voted
ACCV
2006
Springer
15 years 9 months ago
2006
Springer
We first formulate multiple targets tracking problem in a dynamic Markov network(DMN)which is derived from a MRFs for joint target state and a binary process for occlusion of dual...