1407 search results - page 123 / 282 » Learning Abstract Scheduling Models |
118
Voted
AUSDM
2008
Springer
15 years 4 months ago
2008
Springer
Spreadsheets applications allow data to be stored with low development overheads, but also with low data quality. Reporting on data from such sources is difficult using traditiona...
109
Voted
ECCV
2008
Springer
16 years 4 months ago
2008
Springer
Abstract. Tree-structured models have been widely used for human pose estimation, in either 2D or 3D. While such models allow efficient learning and inference, they fail to capture...
115
click to vote
EMMCVPR
2005
Springer
2005
Springer
Exploiting Inference for Approximate Parameter Learning in Discriminative Fields: An Empirical Study
15 years 8 months ago
Abstract. Estimation of parameters of random field models from labeled training data is crucial for their good performance in many image analysis applications. In this paper, we p...
137
click to vote
ACCV
2010
Springer
14 years 9 months ago
2010
Springer
Abstract. We present a novel approach to detect and classify rare behaviours which are visually subtle and occur sparsely in the presence of overwhelming typical behaviours. We tre...
158
Voted
ESOP
2011
Springer
14 years 6 months ago
2011
Springer
Abstract. The Bayesian approach to machine learning amounts to inferring posterior distributions of random variables from a probabilistic model of how the variables are related (th...