508 search results - page 27 / 102 » Near-Optimal Regularization Parameters for Applications in C... |
CVPR
2008
IEEE
14 years 9 months ago
2008
IEEE
We present a novel approach to learn distance metric for information retrieval. Learning distance metric from a number of queries with side information, i.e., relevance judgements...
SCALESPACE
2009
Springer
14 years 2 months ago
2009
Springer
Abstract. Measurements in nanoscopic imaging suffer from blurring effects concerning different point spread functions (PSF). Some apparatus even have PSFs that are locally depend...
ICCV
2001
IEEE
14 years 9 months ago
2001
IEEE
We propose to incorporate a priori geometric constraints in a 3?D stereo reconstruction scheme to cope with the many cases where image information alone is not sufficient to accur...
ICCV
2001
IEEE
14 years 9 months ago
2001
IEEE
This paper presents a novel landmark-based shape deformation method. This method effectively solves two problems inherent in landmark-based shape deformation: (a) identification o...
ICCV
2007
IEEE
14 years 9 months ago
2007
IEEE
In this paper, we propose a novel metric learning method based on regularized moving least squares. Unlike most previous metric learning methods which learn a global Mahalanobis d...