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NIPS
2004
13 years 6 months 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
13 years 6 months 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
CAGD
2007
119views more  CAGD 2007»
13 years 4 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
13 years 6 months 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
13 years 2 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