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103
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NPL
2006
130views more  NPL 2006»
14 years 11 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...
ECCV
2010
Springer
15 years 4 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
15 years 6 months 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 3 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...
94
Voted
CVPR
1999
IEEE
15 years 4 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