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» Alignment using Spectral Clusters
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IGARSS
2010
13 years 8 months ago
Spatial preprocessing for endmember extraction using unsupervised clustering and orthogonal subspace projection concepts
In this paper, we develop a new spatial preprocessing strategy which can be applied prior to a spectral-based endmember extraction process for unmixing of hyperspectral data. Our ...
Gabriel Martin, Antonio J. Plaza
UAI
2003
13 years 11 months ago
Learning Generative Models of Similarity Matrices
Recently, spectral clustering (a.k.a. normalized graph cut) techniques have become popular for their potential ability at finding irregularlyshaped clusters in data. The input to...
Rómer Rosales, Brendan J. Frey
ICIP
2000
IEEE
14 years 11 months ago
Generalized Wiener Reconstruction of Images from Colour Sensor Data Using a Scale Invariant Prior
An algorithm is described for reconstructing images from colour sensor samples, which need not be aligned nor conform to a rectangular sampling geometry. The algorithm has applica...
David Taubman
ICCV
2005
IEEE
14 years 12 months ago
A Spectral Technique for Correspondence Problems Using Pairwise Constraints
We present an efficient spectral method for finding consistent correspondences between two sets of features. We build the adjacency matrix M of a graph whose nodes represent the p...
Marius Leordeanu, Martial Hebert
ICASSP
2009
IEEE
14 years 4 months ago
Two microphone based direction of arrival estimation for multiple speech sources using spectral properties of speech
A two microphone direction of arrival (DOA) estimation technique for multiple speech sources is developed which exploits speech specific properties, namely sparsity in time-frequ...
Wenyi Zhang, Bhaskar D. Rao