712 search results - page 49 / 143 » Pruning Training Sets for Learning of Object Categories |
ECCV
2008
Springer
14 years 11 months ago
2008
Springer
Abstract. Object detection is one of the key problems in computer vision. In the last decade, discriminative learning approaches have proven effective in detecting rigid objects, a...
IJCAT
2010
13 years 7 months ago
2010
: The task of 3D shape classification is to assign a set of unordered shapes into pre-tagged classes with class labels, and find the most suitable class for a newly given shape. In...
ICML
2006
IEEE
14 years 9 months ago
2006
IEEE
In machine learning problems with tens of thousands of features and only dozens or hundreds of independent training examples, dimensionality reduction is essential for good learni...
CVPR
2011
IEEE
13 years 5 months ago
2011
IEEE
Many object classes are primarily defined by their functions. However, this fact has been left largely unexploited by visual object categorization or detection systems. We propos...
CVPR
2010
IEEE
13 years 9 months ago
2010
IEEE
We propose a new algorithm for learning kernels for variants of the Normalized Cuts (NCuts) objective – i.e., given a set of training examples with known partitions, how should ...