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171
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NPL
2006
130views more  NPL 2006»
15 years 6 months ago
A Fast Feature-based Dimension Reduction Algorithm for Kernel Classifiers
This paper presents a novel dimension reduction algorithm for kernel based classification. In the feature space, the proposed algorithm maximizes the ratio of the squared between-c...
Senjian An, Wanquan Liu, Svetha Venkatesh, Ronny T...
157
Voted
ECCV
2010
Springer
15 years 11 months ago
Fast Covariance Computation and Dimensionality Reduction for Sub-Window Features in Images
This paper presents algorithms for efficiently computing the covariance matrix for features that form sub-windows in a large multidimensional image. For example, several image proc...
WWW
2009
ACM
16 years 26 days ago
Mining cultural differences from a large number of geotagged photos
We propose a novel method to detect cultural differences over the world automatically by using a large amount of geotagged images on the photo sharing Web sites such as Flickr. W...
Keiji Yanai, Bingyu Qiu
ECCV
2010
Springer
15 years 10 months ago
Detection and Tracking of Large Number of Targets in Wide Area Surveillance
In this paper, we tackle the problem of object detection and tracking in a new and challenging domain of wide area surveillance. This problem poses several challenges: large camera...
CVPR
1999
IEEE
15 years 10 months ago
Shape Reconstruction in Projective Grid Space from Large Number of Images
This paper proposes a new scheme for multi-image projective reconstruction based on a projective grid space. The projective grid space is defined by two basis views and the fundam...
Hideo Saito, Takeo Kanade