229 search results - page 35 / 46 » Image Classification Using Marginalized Kernels for Graphs |
ICML
2007
IEEE
14 years 8 months ago
2007
IEEE
We present a new machine learning framework called "self-taught learning" for using unlabeled data in supervised classification tasks. We do not assume that the unlabele...
CVPR
2007
IEEE
2007
IEEE
Discriminative Cluster Refinement: Improving Object Category Recognition Given Limited Training Data
14 years 9 months ago
A popular approach to problems in image classification is to represent the image as a bag of visual words and then employ a classifier to categorize the image. Unfortunately, a si...
PR
2006
13 years 7 months ago
2006
A novel training method has been proposed for increasing efficiency and generalization of support vector machine (SVM). The efficiency of SVM in classification is directly determi...
PR
2008
13 years 7 months ago
2008
The spectrum of a graph has been widely used in graph theory to characterise the properties of a graph and extract information from its structure. It has also been employed as a g...
ICIP
2007
IEEE
14 years 2 months 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...