102 search results - page 18 / 21 » Image distance functions for manifold learning |
ACCV
2006
Springer
14 years 1 months ago
2006
Springer
We view the task of change detection as a problem of object recognition from learning. The object is defined in a 3D space where the time is the 3rd dimension. We propose two com...
CVPR
2010
IEEE
14 years 3 months ago
2010
IEEE
Searching approximate nearest neighbors in large scale high dimensional data set has been a challenging problem. This paper presents a novel and fast algorithm for learning binary...
DCC
2002
IEEE
14 years 7 months ago
2002
IEEE
On-line adaptation to nonstationary distributions is essential to good performance in image coding. Fixed-size contexts (with adaptive tables) are also widely used, in conjunction...
NPL
2006
13 years 7 months ago
2006
In multi-instance learning, the training examples are bags composed of instances without labels, and the task is to predict the labels of unseen bags through analyzing the training...
SCIA
2009
Springer
14 years 2 months ago
2009
Springer
Abstract. Level set methods are a popular way to solve the image segmentation problem in computer image analysis. A contour is implicitly represented by the zero level of a signed ...