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PR
2006
147views more  PR 2006»
13 years 4 months ago
Robust locally linear embedding
In the past few years, some nonlinear dimensionality reduction (NLDR) or nonlinear manifold learning methods have aroused a great deal of interest in the machine learning communit...
Hong Chang, Dit-Yan Yeung
ICONIP
2004
13 years 5 months ago
Non-linear Dimensionality Reduction by Locally Linear Isomaps
Algorithms for nonlinear dimensionality reduction (NLDR) find meaningful hidden low-dimensional structures in a high-dimensional space. Current algorithms for NLDR are Isomaps, Loc...
Ashutosh Saxena, Abhinav Gupta, Amitabha Mukerjee
MOBIHOC
2005
ACM
14 years 4 months ago
Localization and routing in sensor networks by local angle information
Location information is very useful in the design of sensor network infrastructures. In this paper, we study the anchor-free 2D localization problem by using local angle measureme...
Jehoshua Bruck, Jie Gao, Anxiao Jiang
HUMO
2007
Springer
13 years 10 months ago
Robust Spectral 3D-Bodypart Segmentation Along Time
Abstract. In this paper we present a novel tool for body-part segmentation and tracking in the context of multiple camera systems. Our goal is to produce robust motion cues over ti...
Fabio Cuzzolin, Diana Mateus, Edmond Boyer, Radu H...
ICPR
2004
IEEE
14 years 5 months ago
Local Fisher Embedding
In recent work, several supervised spectral embedding procedures have been proposed. Although experimentally validated, the construction of these algorithms was rather ad hoc. Thi...
Dick de Ridder, Marco Loog, Marcel J. T. Reinders