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155
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FTCGV
2011
14 years 6 months ago
2011
Powerful statistical models that can be learned efficiently from large amounts of data are currently revolutionizing computer vision. These models possess a rich internal structur...
116
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CVPR
2008
IEEE
16 years 5 months ago
2008
IEEE
We present a novel method for the discovery and detection of visual object categories based on decompositions using topic models. The approach is capable of learning a compact and...
CONTEXT
2005
Springer
15 years 8 months ago
2005
Springer
Abstract. Spatial and temporal granularity can be understood as parameters of context restricting the set of accessible objects in a context. Starting from the idea that this selec...
142
Voted
ICPR
2006
IEEE
16 years 4 months ago
2006
IEEE
It is possible to broadly characterize two approaches to probabilistic modeling in terms of generative and discriminative methods. Provided with sufficient training data the discr...
130
Voted
CVPR
2009
IEEE
16 years 10 months ago
2009
IEEE
We propose a novel approach to designing algorithms for
object tracking based on fusing multiple observation models.
As the space of possible observation models is too large
for...