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TKDD
2008
113views more  TKDD 2008»
13 years 7 months ago
Privacy-preserving classification of vertically partitioned data via random kernels
We propose a novel privacy-preserving support vector machine (SVM) classifier for a data matrix A whose input feature columns are divided into groups belonging to different entiti...
Olvi L. Mangasarian, Edward W. Wild, Glenn Fung
VISUALIZATION
1996
IEEE
13 years 11 months ago
Choosing Effective Colours for Data Visualization
In this paper we describe a technique for choosing multiple colours for use during data visualization. Our goal is a systematic method for maximizing the total number of colours a...
Christopher G. Healey
ECCC
2006
99views more  ECCC 2006»
13 years 7 months ago
On the Subgroup Distance Problem
We investigate the computational complexity of finding an element of a permutation group H Sn with a minimal distance to a given Sn, for different metrics on Sn. We assume that...
Christoph Buchheim, Peter J. Cameron, Taoyang Wu
CVPR
2012
IEEE
11 years 10 months ago
Meta-class features for large-scale object categorization on a budget
In this paper we introduce a novel image descriptor enabling accurate object categorization even with linear models. Akin to the popular attribute descriptors, our feature vector ...
Alessandro Bergamo, Lorenzo Torresani
CISST
2003
83views Hardware» more  CISST 2003»
13 years 9 months ago
Computational Efficiency of Structural Image Matching
This paper addresses computational efficiency issues of a new algebraic method for imagery registration/conflation. An algebraic approach to conflation/registration of images does ...
Richard Chase, Boris Kovalerchuk