1015 search results - page 120 / 203 » Kernels for Multi--task Learning |
ICCV
2009
IEEE
15 years 27 days ago
2009
IEEE
Mean shift clustering is a powerful unsupervised data
analysis technique which does not require prior knowledge
of the number of clusters, and does not constrain the shape
of th...
ICCV
2009
IEEE
15 years 27 days ago
2009
IEEE
Common visual codebook generation methods used in
a Bag of Visual words model, e.g. k-means or Gaussian
Mixture Model, use the Euclidean distance to cluster features
into visual...
CVPR
2006
IEEE
14 years 10 months ago
2006
IEEE
Segmentation involves separating an object from the background. In this work, we propose a novel segmentation method combining image information with prior shape knowledge, within...
PKDD
2009
Springer
14 years 2 months ago
2009
Springer
A core problem in data mining is to retrieve data in a easy and human friendly way. Automatically translating natural language questions into SQL queries would allow for the design...
ECCV
2010
Springer
14 years 8 days ago
2010
Springer
Recent research has shown the effectiveness of using sparse coding(Sc) to solve many computer vision problems. Motivated by the fact that kernel trick can capture the nonlinear sim...