1956 search results - page 141 / 392 » Learning the Relative Importance of Features in Image Data |
172
Voted
ICDAR
2009
IEEE
15 years 1 months ago
2009
IEEE
This paper presents a new approach for the binarization of seriously degraded manuscript. We introduce a new technique based on a Markov Random Field (MRF) model of the document. ...
144
Voted
WWW
2006
ACM
16 years 4 months ago
2006
ACM
The asymmetry of activity in virtual communities is of great interest. While participation in the activities of virtual communities is crucial for a community's survival and ...
211
Voted
CVPR
2012
IEEE
13 years 7 months ago
2012
IEEE
Pedestrian detection from images is an important and yet challenging task. The conventional methods usually identify human figures using image features inside the local regions. In...
124
Voted
ICPR
2008
IEEE
15 years 10 months ago
2008
IEEE
Graph based semi-supervised learning methods (SSL) implicitly assume that the intrinsic geometry of the data points can be fully specified by an Euclidean distance based local ne...
133
Voted
ICANN
2010
Springer
15 years 4 months ago
2010
Springer
Abstract. We investigate the extent to which eye movements in natural dynamic scenes can be predicted with a simple model of bottom-up saliency, which learns on different visual re...