5740 search results - page 105 / 1148 » Application of Level Set Methods in Computer Vision |
ICPR
2004
IEEE
16 years 3 months ago
2004
IEEE
In this paper, a new method is proposed to detect abnormal regions in colonoscopic images by patch-based classifier ensemble. Through supervised learning from image patches of var...
121
click to vote
CVPR
2009
IEEE
15 years 9 months ago
2009
IEEE
Given an image region of pixels, second order statistics can be used to construct a descriptor for object representation. One example is the covariance matrix descriptor, which sh...
96
Voted
ACCV
2009
Springer
15 years 6 months ago
2009
Springer
Ill-posed linear equations are pervasive in computer vision. A popular way to solve an ill-posed problem is regularization. In this paper, we propose a new criterion for designing ...
106
click to vote
ICPR
2008
IEEE
15 years 8 months ago
2008
IEEE
Active set methods for training the Support Vector Machines (SVM) are advantageous since they enable incremental training and, as we show in this research, do not exhibit exponent...
116
click to vote
ADCM
2007
15 years 2 months ago
2007
Motivated by the method for the reconstruction of 3D objects from a set of parallel cross sections, based on the binary operation between 2D sets termed “metric average”, we de...