110 search results - page 7 / 22 » Stretching Bayesian Learning in the Relevance Feedback of Im... |
ICITA
2005
IEEE
14 years 2 months ago
2005
IEEE
Small-sample learning in image retrieval is a pertinent and interesting problem. Relevance feedback is an active area of research that seeks to find algorithms that are robust wi...
AMR
2007
Springer
14 years 3 months ago
2007
Springer
The goal of this paper is to study the image-concept relationship as it pertains to image annotation. We demonstrate how automatic annotation of images can be implemented on partia...
ICPR
2008
IEEE
14 years 10 months ago
2008
IEEE
In many vision problems, instead of having fully annotated training data, it is easier to obtain just a subset of data with annotations, because it is less restrictive for the use...
ICMI
2009
Springer
14 years 3 months ago
2009
Springer
We introduce GaZIR, a gaze-based interface for browsing and searching for images. The system computes on-line predictions of relevance of images based on implicit feedback, and wh...
ICCV
2003
IEEE
14 years 2 months ago
2003
IEEE
Relevance feedback (RF) is an interactive process which refines the retrievals by utilizing user’s feedback history. Most researchers strive to develop new RF techniques and ign...