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DAGM
2006
Springer
13 years 11 months ago
Parameterless Isomap with Adaptive Neighborhood Selection
Abstract. Isomap is a highly popular manifold learning and dimensionality reduction technique that effectively performs multidimensional scaling on estimates of geodesic distances....
Nathan Mekuz, John K. Tsotsos
CORR
2008
Springer
126views Education» more  CORR 2008»
13 years 7 months ago
Non-Negative Matrix Factorization, Convexity and Isometry
Traditional Non-Negative Matrix Factorization (NMF) [19] is a successful algorithm for decomposing datasets into basis function that have reasonable interpretation. One problem of...
Nikolaos Vasiloglou, Alexander G. Gray, David V. A...
SODA
2010
ACM
177views Algorithms» more  SODA 2010»
14 years 5 months ago
Convergence, Stability, and Discrete Approximation of Laplace Spectra
Spectral methods have been widely used in a broad range of application fields. One important object involved in such methods is the Laplace-Beltrami operator of a manifold. Indeed...
Tamal K. Dey, Pawas Ranjan, Yusu Wang
IPMI
2005
Springer
14 years 8 months ago
Analysis of Event-Related fMRI Data Using Diffusion Maps
The blood oxygen level-dependent (BOLD) signal in response to brief periods of stimulus can be detected using event-related functional magnetic resonance imaging (ER-fMRI). In this...
François G. Meyer, Xilin Shen
IDEAL
2005
Springer
14 years 1 months ago
Bearing Similarity Measures for Self-organizing Feature Maps
The neural representation of space in rats has inspired many navigation systems for robots. In particular, Self-Organizing (Feature) Maps (SOM) are often used to give a sense of lo...
Narongdech Keeratipranon, Frédéric M...