1427 search results - page 272 / 286 » Markov Random Field Modeling in Computer Vision |
ICCV
2011
IEEE
12 years 7 months ago
2011
IEEE
Recognition of motions and activities of objects in videos requires effective representations for analysis and matching of motion trajectories. In this paper, we introduce a new r...
EMMCVPR
2011
Springer
12 years 7 months ago
2011
Springer
In this work, we are concerned with the detection of multiple objects in an image. We demonstrate that typically applied objectives have the structure of a random field model, but...
CVPR
2012
IEEE
11 years 10 months ago
2012
IEEE
Attributes are visual concepts that can be detected by machines, understood by humans, and shared across categories. They are particularly useful for fine-grained domains where c...
BMCBI
2007
13 years 7 months ago
2007
Background: A key challenge in metabonomics is to uncover quantitative associations between multidimensional spectroscopic data and biochemical measures used for disease risk asse...
CVPR
2004
IEEE
14 years 9 months ago
2004
IEEE
Most tracking algorithms are based on the maximum a posteriori (MAP) solution of a probabilistic framework called Hidden Markov Model, where the distribution of the object state a...