560 search results - page 50 / 112 » Level-set methods for convex optimization |
149
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ICCV
2009
IEEE
15 years 1 months ago
2009
IEEE
Finding the largest consensus set is one of the key ideas used by the original RANSAC for removing outliers in robust-estimation. However, because of its random and non-determinis...
ICIP
2009
IEEE
16 years 4 months ago
2009
IEEE
We develop a new approach for characterization of mixed pixels in remotely sensed hyperspectral images. The proposed method rst performs joint spatial-spectral pixel characterizat...
110
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AAAI
2010
15 years 4 months ago
2010
Multiple Kernel Learning (MKL) can be formulated as a convex-concave minmax optimization problem, whose saddle point corresponds to the optimal solution to MKL. Most MKL methods e...
123
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ECML
2007
Springer
15 years 9 months ago
2007
Springer
Abstract. We consider a new discriminative learning approach to sequence labeling based on the statistical concept of the Z-score. Given a training set of pairs of hidden-observed ...
138
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ICCV
2007
IEEE
16 years 5 months ago
2007
IEEE
We consider the problem of predicting a sequence of real-valued multivariate states from a given measurement sequence. Its typical application in computer vision is the task of mo...