477 search results - page 37 / 96 » Missing Data Estimation Using Polynomial Kernels |
119
Voted
ECCV
2008
Springer
16 years 2 months ago
2008
Springer
Probabilistic graphical models such as Bayesian Networks have been increasingly applied to many computer vision problems. Accuracy of inferences in such models depends on the quali...
CSDA
2008
15 years 18 days ago
2008
An m-sample semiparametric model in which the ratio of m - 1 probability density functions with respect to the mth is of a known parametric form without reference to any parametri...
ECCV
2010
Springer
15 years 5 months ago
2010
Springer
Abstract. In this paper we investigate the problem of exploiting multiple sources of information for object recognition tasks when additional modalities that are not present in the...
ICASSP
2011
IEEE
14 years 4 months ago
2011
IEEE
This paper presents computationally efficient implementations for Iterative Adaptive Approach (IAA) spectral estimation techniques for uniformly sampled data sets. By exploiting ...
94
Voted
CSDA
2008
15 years 18 days ago
2008
Given angular data 1, . . . , n [0, 2) a common objective is to estimate the density. In the case that a kernel estimator is used, bandwidth selection is crucial to the performan...