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NIPS
2004
15 years 1 days ago
Neighbourhood Components Analysis
In this paper we propose a novel method for learning a Mahalanobis distance measure to be used in the KNN classification algorithm. The algorithm directly maximizes a stochastic v...
Jacob Goldberger, Sam T. Roweis, Geoffrey E. Hinto...
DGCI
2008
Springer
15 years 13 days ago
Decomposition and Construction of Neighbourhood Operations Using Linear Algebra
In this paper, we introduce a method to express a local linear operated in the neighbourhood of each point in the discrete space as a matrix transform. To derive matrix expressions...
Atsushi Imiya, Yusuke Kameda, Naoya Ohnishi
70
Voted
CAGD
2007
119views more  CAGD 2007»
14 years 10 months ago
Principal curvatures from the integral invariant viewpoint
The extraction of curvature information for surfaces is a basic problem of Geometry Processing. Recently an integral invariant solution of this problem was presented, which is bas...
Helmut Pottmann, Johannes Wallner, Yong-Liang Yang...
CLA
2007
15 years 3 days ago
SearchSleuth: The Conceptual Neighbourhood of an Web Query
This paper presents SearchSleuth, a program developed to experiment with a form of automatic local analysis that extends the standard Web search interface to include a conceptual n...
Jon Ducrou, Peter W. Eklund
BMVC
2010
14 years 8 months ago
Histogram of Body Poses and Spectral Regression Discriminant Analysis for Human Action Categorization
This paper explores a recently proposed and rarely reported subspace learning method, Spectral Regression Discriminant Analysis (SRDA) [1, 2], on silhouette based human action rec...
Ling Shao, Xiuli Chen