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» Correlational spectral clustering
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AUSAI
2009
Springer
15 years 1 months ago
Adapting Spectral Co-clustering to Documents and Terms Using Latent Semantic Analysis
Abstract. Spectral co-clustering is a generic method of computing coclusters of relational data, such as sets of documents and their terms. Latent semantic analysis is a method of ...
Laurence A. F. Park, Christopher Leckie, Kotagiri ...
IJCAI
2003
14 years 11 months ago
Spectral Learning
We present a simple, easily implemented spectral learning algorithm which applies equally whether we have no supervisory information, pairwise link constraints, or labeled example...
Sepandar D. Kamvar, Dan Klein, Christopher D. Mann...
DCC
2005
IEEE
15 years 9 months ago
Efficient Inter-Band Prediction and Wavelet Based Compression for Hyperspectral Imagery: A Distributed Source Coding Approach
Hyperspectral images have correlation at the level of pixels; moreover, images from neighboring frequency bands are also closely correlated. In this paper, we propose to use distr...
Caimu Tang, Ngai-Man Cheung, Antonio Ortega, Cauli...
ICPR
2004
IEEE
15 years 10 months ago
Robust Phase Correlation
: This paper presents a robust phase correlation based sub-pixel feature matching technique and its application in motion flow estimation, pixel-to-pixel image-co-registration and ...
Amir Averbuch, Ofer Miller, Yosi Keller
122
Voted
ICASSP
2011
IEEE
14 years 1 months ago
Robust hyperspectral signal unmixing in the presence of correlated noise
Hyperspectral imaging analysis aims at the estimation of the number of constituent substances, known as endmembers, their spectral signatures as well as their abundance fractions ...
Masoud Farzam, Soosan Beheshti