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123
Voted
CVPR
2011
IEEE
14 years 10 months ago
2011
IEEE
We present a novel framework for tree-structure embedded density estimation and its fast approximation for mode seeking. The proposed method could find diverse applications in co...
151
Voted
JMLR
2002
15 years 2 months ago
2002
Recently, sample complexity bounds have been derived for problems involving linear functions such as neural networks and support vector machines. In many of these theoretical stud...
123
Voted
ICML
2010
IEEE
15 years 3 months ago
2010
IEEE
Dimension reduction is popular for learning predictive models in high-dimensional spaces. It can highlight the relevant part of the feature space and avoid the curse of dimensiona...
127
Voted
CVPR
2010
IEEE
15 years 10 months ago
2010
IEEE
When classifying high-dimensional sequence data, traditional methods (e.g., HMMs, CRFs) may require large amounts of training data to avoid overfitting. In such cases dimensional...
137
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ICIP
2007
IEEE
15 years 8 months ago
2007
IEEE
Graph cut image segmentation with intensity information alone is prone to fail for objects with weak edges, in clutter, or under occlusion. Existing methods to incorporate shape a...