31 search results - page 1 / 7 » Kernelized Structural SVM Learning for Supervised Object Seg... |
CVPR
2011
IEEE
12 years 8 months ago
2011
IEEE
Object segmentation needs to be driven by top-down knowledge to produce semantically meaningful results. In this paper, we propose a supervised segmentation approach that tightly ...
ICCV
2007
IEEE
13 years 11 months ago
2007
IEEE
Kernel classifiers based on Support Vector Machines (SVM) have recently achieved state-of-the art results on several popular datasets like Caltech or Pascal. This was possible by...
CVPR
2008
IEEE
13 years 6 months ago
2008
IEEE
We consider the problem of visual categorization with minimal supervision during training. We propose a partbased model that loosely captures structural information. We represent ...
IJCV
2008
13 years 5 months ago
2008
This paper shows (i) improvements over state-of-the-art local feature recognition systems, (ii) how to formulate principled models for automatic local feature selection in object c...
ICCV
2005
IEEE
14 years 7 months ago
2005
IEEE
In recent years Kernel Principal Component Analysis (Kernel PCA) has gained much attention because of its ability to capture nonlinear image features, which are particularly impor...