32 search results - page 4 / 7 » Image Classification with Segmentation Graph Kernels |
PAMI
2007
13 years 5 months ago
2007
—A variety of clustering algorithms have recently been proposed to handle data that is not linearly separable; spectral clustering and kernel k-means are two of the main methods....
ICIP
2007
IEEE
14 years 3 days 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...
NIPS
2004
13 years 7 months ago
2004
The standard approach to the classification of objects is to consider the examples as independent and identically distributed (iid). In many real world settings, however, this ass...
DAGM
2008
Springer
13 years 7 months ago
2008
Springer
Most current methods for multi-class object classification and localization work as independent 1-vs-rest classifiers. They decide whether and where an object is visible in an imag...
BMVC
2010
13 years 3 months ago
2010
Markov random field pixel labelling is often used to obtain image segmentations in which each segment or region is labelled according to its attributes such as colour or texture. ...