477 search results - page 11 / 96 » Missing Data Estimation Using Polynomial Kernels |
123
Voted
PAMI
2010
14 years 11 months ago
2010
In this paper, we present a new Adaptive Scale Kernel Consensus (ASKC) robust estimator as a generalization of the popular and state-of-the-art robust estimators such as RANSAC (R...
127
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SCIA
2009
Springer
15 years 7 months ago
2009
Springer
Many computer vision problems can be formulated as low rank bilinear minimization problems. One reason for the success of these problems is that they can be efficiently solved usin...
105
Voted
ICIP
2000
IEEE
16 years 2 months ago
2000
IEEE
We present an estimation-theoretic approach to curve evolution for the Mumford-Shah problem. By viewing an active contour as the set of discontinuities in the Mumford-Shah problem...
120
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ML
2006
ACM
15 years 12 days 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...
85
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BMCBI
2007
2007
Missing channels in two-colour microarray experiments: Combining single-channel and two-channel data
15 years 17 days ago
Background: There are mechanisms, notably ozone degradation, that can damage a single channel of two-channel microarray experiments. Resulting analyses therefore often choose betw...