384 search results - page 12 / 77 » Segmentation Informed by Manifold Learning |
TIP
2010
13 years 2 months ago
2010
We propose a unified manifold learning framework for semi-supervised and unsupervised dimension reduction by employing a simple but effective linear regression function to map the ...
ICDM
2009
IEEE
14 years 2 months ago
2009
IEEE
—Segmentation, the task of splitting a long sequence of discrete symbols into chunks, can provide important information about the nature of the sequence that is understandable to...
ACCV
2010
Springer
13 years 2 months ago
2010
Springer
Abstract. In set-based face recognition, each set of face images is often represented as a linear/nonlinear manifold and the Principal Angles (PA) or Kernel PAs are exploited to me...
CVPR
2007
IEEE
14 years 9 months ago
2007
IEEE
In this paper, we propose a novel learning-based method for image hallucination, with image super-resolution being a specific application that we focus on here. Given a low-resolu...
CVPR
2011
IEEE
12 years 11 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 ...