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ML
2006
ACM
14 years 10 months ago
2006
ACM
This paper addresses the problem of transductive learning of the kernel matrix from a probabilistic perspective. We define the kernel matrix as a Wishart process prior and construc...
MMS
2006
14 years 10 months ago
2006
Most multimedia surveillance and monitoring systems nowadays utilize multiple types of sensors to detect events of interest as and when they occur in the environment. However, due...
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PAMI
2006
14 years 10 months ago
2006
Gaussian process classifiers (GPCs) are Bayesian probabilistic kernel classifiers. In GPCs, the probability of belonging to a certain class at an input location is monotonically re...
IJCV
2007
14 years 10 months ago
2007
We investigate a method for learning object categories in a weakly supervised manner. Given a set of images known to contain the target category from a similar viewpoint, learning...
IJCV
2007
14 years 10 months ago
2007
The shape of a population of geometric entities is characterized by both the common geometry of the population and the variability among instances. In the deformable model approach...