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ICML
2004
IEEE
14 years 8 months ago
K-means clustering via principal component analysis
Principal component analysis (PCA) is a widely used statistical technique for unsupervised dimension reduction. K-means clustering is a commonly used data clustering for unsupervi...
Chris H. Q. Ding, Xiaofeng He
SIAMIS
2010
86views more  SIAMIS 2010»
13 years 6 months ago
Sensitivity Analysis of Multichannel Images Intended for Instantaneous Imaging Spectrometry Applications
This paper presents a sensitivity analysis of using instantaneous multichannel two-dimensional (2D) imaging to achieve instantaneous 2D imaging spectroscopy. A simulated multiple-ï...
Hamed Hamid Muhammed, Fredrik Bergholm
IPMI
1999
Springer
14 years 8 months ago
Spectral Factor Analysis for Multi-isotope Imaging in Nuclear Medicine
In nuclear medicine, simultaneous dual-isotope imaging is used to determine the distribution of two radiotracers from a single acquisition and for emission/transmission (E/T) imagi...
Irène Buvat, S. Hapdey, Habib Benali, Andre...
NIME
2005
Springer
159views Music» more  NIME 2005»
14 years 1 months ago
Voice-controlled plucked bass guitar through two synthesis techniques
In this paper we present an example of the use of the singing voice as a controller for digital music synthesis. The analysis of the voice with spectral processing techniques, der...
Jordi Janer
ICASSP
2011
IEEE
12 years 11 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