Unsupervised Iterative Manifold Alignment via Local Feature Histograms

Unsupervised Iterative Manifold Alignment via Local Feature Histograms

We propose a new unsupervised algorithm for the automatic alignment of two manifolds of different datasets with possibly different dimensionalities. Alignment is performed automatically without any assumptions on the correspondences between the two manifolds. The proposed algorithm automatically est...

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Bibliographic Details
Main Authors: Fan, Ke, Mian, A., Liu, Wan-Quan, Li, Ling
Other Authors: NO editor
Format: Conference Paper
Published: Institute of Electrical and Electronics Engineers 2014
Subjects:
learning (artificial intelligence)
data analysis
feature extraction
face recognition
iterative methods
eigenvalues and eigenfunctions
proteins
pattern matching
image colour analysis
Online Access:http://hdl.handle.net/20.500.11937/6837

Internet

http://hdl.handle.net/20.500.11937/6837

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