227 search results - page 2 / 46 » Learning to Localize Objects with Structured Output Regressi... |
167
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DAGM
2009
Springer
16 years 11 days ago
2009
Springer
High-speed smooth and accurate visual tracking of objects in arbitrary, unstructured environments is essential for robotics and human motion analysis. However, building a system th...
194
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ICPR
2006
IEEE
16 years 6 months ago
2006
IEEE
Localizing objects in images is a difficult task and represents the first step to the solution of the object recognition problem. This paper presents a novel approach to the local...
137
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ICML
2006
IEEE
16 years 6 months ago
2006
IEEE
We extend tree-based methods to the prediction of structured outputs using a kernelization of the algorithm that allows one to grow trees as soon as a kernel can be defined on the...
175
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ICML
2010
IEEE
15 years 6 months ago
2010
IEEE
We consider the problem of learning a sparse multi-task regression, where the structure in the outputs can be represented as a tree with leaf nodes as outputs and internal nodes a...
297
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Publication
This paper presents a multi-output regression model for crowd counting in public scenes. Existing counting by regression methods either learn a single model for global counting, or...