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122
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ICDM
2010
IEEE
264views Data Mining» more  ICDM 2010»
14 years 8 months ago
Block-GP: Scalable Gaussian Process Regression for Multimodal Data
Regression problems on massive data sets are ubiquitous in many application domains including the Internet, earth and space sciences, and finances. In many cases, regression algori...
Kamalika Das, Ashok N. Srivastava
CEC
2010
IEEE
14 years 11 months ago
Constrained global optimization of low-thrust interplanetary trajectories
The optimization of spacecraft trajectories can be formulated as a global optimization task. The complexity of the problem depends greatly on the problem formulation, on the spacec...
Chit Hong Yam, David Di Lorenzo, Dario Izzo
89
Voted
CVPR
1999
IEEE
16 years 8 days ago
Explaining Optical Flow Events with Parameterized Spatio-Temporal Models
A spatio-temporal representation for complex optical flow events is developed that generalizes traditional parameterized motion models (e.g. affine). These generative spatio-tempo...
Michael J. Black
85
Voted
ECCV
2008
Springer
16 years 4 days ago
Finding Actions Using Shape Flows
Abstract. We propose a novel method for action detection based on a new action descriptor called a shape flow that represents both the shape and movement of an object in a holistic...
Hao Jiang, David R. Martin
109
Voted
SCALESPACE
2005
Springer
15 years 3 months ago
On Image Reconstruction from Multiscale Top Points
Image reconstruction from a fiducial collection of scale space interest points and attributes (e.g. in terms of image derivatives) can be used to make the amount of information co...
Frans Kanters, Martin Lillholm, Remco Duits, Bart ...