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» INSPIRE: A New Method of Mapping Information Spaces
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CVPR
2007
IEEE
15 years 11 months ago
Connecting the Out-of-Sample and Pre-Image Problems in Kernel Methods
Kernel methods have been widely studied in the field of pattern recognition. These methods implicitly map, "the kernel trick," the data into a space which is more approp...
Pablo Arias, Gregory Randall, Guillermo Sapiro
ICPR
2008
IEEE
15 years 4 months ago
Adaptive local contrast enhancement for the visualization of high dynamic range images
In this paper, we present a new tone mapping algorithm for the display of high dynamic range images, inspired by adaptive process of the human visual system. The proposed algorith...
Jian Zhang, Sei-ichiro Kamata
PVLDB
2010
135views more  PVLDB 2010»
14 years 4 months ago
Efficient Skyline Evaluation over Partially Ordered Domains
Although there has been a considerable body of work on skyline evaluation in multidimensional data with totally ordered attribute domains, there are only a few methods that consid...
Shiming Zhang, Nikos Mamoulis, Ben Kao, David Wai-...
AROBOTS
2006
119views more  AROBOTS 2006»
14 years 9 months ago
A Discussion of Simultaneous Localization and Mapping
This paper aims at a discussion of the structure of the SLAM problem. The analysis is not strictly formal but based both on informal studies and mathematical derivation. The first ...
Udo Frese
CVPR
2006
IEEE
15 years 11 months ago
Dimensionality Reduction by Learning an Invariant Mapping
Dimensionality reduction involves mapping a set of high dimensional input points onto a low dimensional manifold so that "similar" points in input space are mapped to ne...
Raia Hadsell, Sumit Chopra, Yann LeCun